CN103810243A - Innovative hotspot pre-warning recognition system and method - Google Patents
Innovative hotspot pre-warning recognition system and method Download PDFInfo
- Publication number
- CN103810243A CN103810243A CN201310617462.3A CN201310617462A CN103810243A CN 103810243 A CN103810243 A CN 103810243A CN 201310617462 A CN201310617462 A CN 201310617462A CN 103810243 A CN103810243 A CN 103810243A
- Authority
- CN
- China
- Prior art keywords
- classification
- user
- early warning
- document
- grid
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9577—Optimising the visualization of content, e.g. distillation of HTML documents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
An innovative hotspot pre-warning recognition system responds to a query analysis request input by a network user, performs innovative hotspot recognition on patent data in a period of time to generate literature grid charts automatically, displays the number of corresponding literatures in selected classification grid positions and performs statistical analysis; the system detects whether the system is in a pre-warning state according to the number of literatures and performs pre-warning analysis of innovative hotspots; when the system generates pre-warning analysis results, pre-warning colors and pre-warning marks are generated and displayed in the corresponding positions of the literature grid charts; and furthermore, the system can provide user interface customization, and sends the customized literature grid charts and pre-warning information of the literature grid charts to a computer terminal of the user.
Description
Technical field
The present invention relates to a kind of innovation focus early warning recognition system and method, particularly a kind ofly carry out early warning according to manual sort and know method for distinguishing, comprise processing to information, restructuring, analysis, classification, classify and innovate hotspot location and identify again.System of the present invention realizes human-computer interaction, information communication, storage and access in computer network system.
Background technology
Along with developing rapidly of internet, technical information interchange speed is fast, and innovative thinking continues to bring out, and technological achievement, scientific research paper, patent documentation and scientific experimental data quantity thereof are increased sharply, and bring difficulty to technical Analysis.The rapid growth of innovative information, the continuous blast that brings information, this brings beyond example challenge to scientific and technical personnel.Wherein, maximum challenge is in the time carrying out technical Analysis, and technician is difficult to focus on to innovation focus, can not identify very soon the document alteration trend of those concrete technical fields.Thus, innovative content analysis becomes and wastes time and energy.The technical Analysis difficulty of each sciemtifec and technical sphere increases, and expends time in and increases year by year, and many scientific and technical personnel's overtime works, even fell ill before official documents and correspondence, computer.
Along with improving constantly of technical information electronization degree, increasing technical information exchanges on network, is badly in need of timely classification analysis.Current, the emerging information technology companies of part passes through internet information acquisition, and the real-time analysis of information becomes more important.How a large amount of information processed in real time and classified and find innovation theme and innovation focus, becoming the outstanding problem of technical Analysis.Utilize microcomputer data processing and technical network, to technical information analyze and utilization be reduce working strength, the important means saving labour turnover.Can see, the diligent cost in big city improves constantly in recent years, the necessary means that becomes thus technical Analysis saving labour turnover simultaneously.An important ring that utilizes computing machine to carry out technical Analysis is accurate lock-in techniques innovation focus, and after document increases and upgrades, continue lock-in techniques and innovate focus, break away from artificial data processing the continuous index to document, classification, restructuring, analysis, the duplication of labour of classification again.
Innovative content graphic is solution of the present invention.The present invention is according to constantly occurring in recent years the achievement in research to Knowledge Map, patent map, technical literature for manual sort carries out graphic processing, the technical information of particular data set, time range is stored, analyzed and the demonstration of classifying by the computing method and the database technology that improve constantly, and utilize various existing Data classifications to carry out information processing and conversion, produce the computer data analysis diagram with Knowledge Map effect.These charts cannot machine by common manual data, also cannot be upgraded and be processed by artificial means, reach accuracy of the present invention, consistance and real-time.Final data chart of the present invention for auxiliary enterprises innovation, improve product design ability, safeguard industries intellecture property provides strong decision support.
The present invention is in the processing and mining process to information, and emphasis uses the information classification system of multistage tree structure, and utilizes existing this type of taxonomic hierarchies to carry out treatment and processing to technical information.The advantage that adopts the existing taxonomic hierarchies of industry-by-industry is to inherit forefathers' the wisdom fruit of labour, and under the condition constantly increasing rapidly in information, the classification setting in advance and fast generation classification results.Too old when original technology classification, can not comprise new technology vocabulary and content.The present invention carries out artificial cognition to original classification subject, and computing machine conversion reaches in the classification again of original technical scope or reclassifies, and finally realizes development and the innovation demand of the concrete technical field technology of dynamically adapting.The present invention has avoided relying on the innovative analysis of old classification, and utilize computer technology automatically overcome technology look into new in the problem of undetected and flase drop usually.
The present invention relates to the information science field that data mining is relevant with Knowledge Discovery.In recent years, knowledge excavation technology is risen rapidly, and knowledge excavation utilizes the robotization processing of computing machine to data, and the automatic semantic processes of computing machine, breaks away from artificial manual sort emphatically.By knowledge excavation, computing machine carries out computer extraction, analysis, cluster and represents the interested knowledge of innovation team, has improved greatly recall precision and the classification effectiveness of the mankind to new technology.Thus, there is various application and understanding to knowledge excavation, comprised " Knowledge Discovery ", " knowledge exploitation ", " Knowledge Extraction ", " INFORMATION DISCOVERY ", " Knowledge Discovery ", " Intelligent data analysis ", " heuristic data analysis ", " information gain " and " data archaeology " etc.But " knowledge excavation " regarded as by many researchers is only the step that data are found, can not be exactly for innovation work person provides innovation analysis of central issue.In other words, data mining can not be differentiated gordian technique and non-key technology, core technology and the non-key technologies in document.Another information excavating research direction is Data Mining.Data Mining Major Epidemic is in the research field of statistical circles, data analysis, database and management information system (MIS); Compare with Knowledge Discovery, the technology of artificial intelligence and machine learning is not focused in Data Mining, can not identify the gordian technique in document and non-key technology, core technology and non-key technologies.
An example of the information classification system of the above-mentioned multistage tree structure of mentioning is the analysis of IPC international monopoly.At present, the storage of the document of industrial intellecture property aspect and retrieval are also relied on " International Patent Classification (IPC) " (IPC).Carrying out after keyword retrieval (or semantic analysis) retrieval phase, patent examiner and attorney, still need to use International Patent Classification (IPC) (International Patent Classification is called for short IPC) to examine and proofread.But IPC is not suitable with innovative technology problem, the classification analysis of especially concrete technical field innovative technology.This point comes into one's own in Patent Office of many big countries.It is all the correction to IPC that EUROPEAN PATENT OFFICE is used ECLA, the Japanese Patent Room to use F-TERMS.In recent years, United States Patent Office (USPO) also recognizes the shortcomings of IPC, and has started from EUROPEAN PATENT OFFICE cooperation patent classification is improved, and implements to be called the patent classification plan of CPC.
Review history, IPC is by World Intellectual Property Organization (WIPO) according to " STRASBOURG AGREEMENT of International Classification of Patents " (Strasbourg Agreement) establishment of signing in 1971, and revision in every 5 years is once.Chinese edition the 7th edition is compiled according to English edition (the 7th edition) by Patent Office of China national Department of Intellectual Property examination department, and use came into force January 1 calendar year 2001.So the invention is not restricted to use the technology classification extensively to publish, but more dynamically inherit these classified informations, and according to the feature of specific field technique variation, document classification is reproduced.The present invention is by storage and the sorting technique of modern innovation information, fundamental purpose is the variation of the auxiliary innovation work person innovative content that identification continues to bring out rapidly, innovation focus and innovation competitive environment thereof, instructs more efficiently the scientific and technical personnel of each specific field to innovate.
summary of the invention
Large for current scientific and technical literature, technical information and patent documentation quantity, be difficult to the problem of finishing analysis, utilize the self-defined classification of existing document classification and manual processing, innovative content is identified, find innovation focus.The present invention utilizes existing document classification, and for example IPC, adds up automatically to document, and a kind of innovation focus early warning recognition system and method are provided.The present invention can also adjust and change IPC, is convenient to the technical literature of some specific fields to carry out classification analysis.
The present invention is a kind of system of innovating focus early warning identification, and this system comprises one or more network computer, and every network computer at least comprises that a central processing unit, this central processing unit are the central processing unit of monokaryon, double-core or four cores; This system also comprises network computer storer, one or more message handler, external one or more graphic alphanumeric displays; This system comprises that one or more clients and native system communicate by network.Client is desktop computer, notebook computer, wireless mobile platform, comprises PDA, mobile phone or smart mobile phone.This system may operate in Saipan operating system S60V3 (third edition of Symbian60 operating system).Saipan platform S60V3 is the current most popular operation system of smart phone of S60 series. comprise all kinds of mobile phones of Nokia.Other Saipan operating systems also comprise UIQ3.0.This system for example may operate in, in the mobile platform operating system of Microsoft: Pocket PC is the touch-screen operation system of smart phone based on Windows Mobile system.This system may operate in the Android operating system of Google (Google).Android (Android) is a mobile phone operating system of increasing income based on Linux platform of Google's exploitation, comprises the types such as the grand Hero200|G4|G3|G2|G1|Espresso of HTC.
System of the present invention can also run on other mobile phone operating system platform, comprising: American apple company is the operating system IPHONE OS of iPhone exploitation.
System of the present invention is characterised in that system responds the network user's request, completes the operation to classification.The network user's solicit operation is reported the classification number of input and is carried out information inquiry.When system receives after user's request, system is carried out classification number coupling in taxonomy database by executive routine, sends demonstration information to the display device of network user terminals.System demonstration information on terminal device comprises demonstration classification number, shows that classification number uses time interval, shows classification number grid position; Wherein, show that classification number grid position comprises horizontal two points of sections and sector marker, longitudinal two points of sections and sector marker and transverse section and longitudinal section crossing net lattice.
System section crossing net lattice are visualization functions of system.After response to network user is to the click of classification number, system shows all patent and non-patent literatures thereof in classification number; This system can also response to network user create new classification request, in taxonomy database, carry out classification number inquiry, in the time not mating, on display device, show classification input frame, classification declaration and tag along sort, and point out user's selection sort to create classification number, and after user's click classifications label, recording user categorizing selection, and categorizing selection is recorded in innovation taxonomy database; Wherein, the innovation label of demonstration comprises innovation specific name, classified description, classification number, at least one upper classification number.
The request that response to network user analyzes the patent data of a time period, automatically generate the document grid chart of each classification, and show patent numbers on the grid position that shows classification, and continuation response user clicks the single of grid position and two the click of user to grid position and the operation that classification is pulled; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
After the data analysis request of one or more classification in user proposes one or more time period, the request that computer system response to network user of the present invention analyzes the patent data of multiple classification in the time period, generates the document grid chart of first classification of this time period automatically.Then respond the patent data request of second classification in this time period, automatically generate the document grid chart of second classification, and show patent numbers on the grid position that shows classification.Native system so responds the patent data request of the 3rd classification in this time period, automatically generates the document grid chart of the 3rd classification, and shows patent numbers on the grid position that shows classification.So, the present invention completes the data analysis of all multiple classification, generates the document grid chart of classification, and shows patent numbers on the grid position that shows classification.Completing after all demonstration classification, on all grid positions, show patent numbers more.Native system also continues to respond single click and user two click to grid position and the operation that classification pulled of user to grid position; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
The present invention can also response to network user carry out data analysis and process to the patent data that contains particular keywords in title in the time period.When user proposes after the request of data analysis, system of the present invention is extracted the patent that contains particular keywords in title automatically, and produce one analyze set, automatically generate the document grid chart of each classification, and show patent numbers on the grid position that shows classification, and continuation response user clicks the single of grid position and two the click of user to grid position and the operation that classification is pulled; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
Response to network user carries out data analysis and process to the patent data that contains particular keywords in title and digest in the time period.System of the present invention is extracted the patent that contains particular keywords automatically, and produces an analysis set, automatically identifies multiple classification, and the patent data in this patent set is analyzed.After database analysis completes, automatically generate the document grid chart of each classification, and show patent numbers on the grid position that shows classification.According to user's request, native system can merge the analysis data result of two or more time periods, and continuation response user clicks the single of grid position and two the click of user to grid position and the operation that classification is pulled; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
Response to network user carries out the request of replacement analysis to the patent data of multiple classification in the time period, automatically upgrade the document grid chart of each classification, and show patent numbers on the grid position that shows classification, and continuation response user clicks the single of grid position and two the click of user to grid position and the operation that classification is pulled; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
Response to network user drills through classification request.The present invention accepts to drill through after classification request, in system database, carry out classification and matching, and ask the classification drilling through to carry out record user, and these relevant classifications are generated to the document grid chart of each classification, and show patent numbers on the grid position that shows classification.The present invention also clicks the single of grid position and two the click of user to grid position and the operation that classification is pulled according to the grid position continuation response user who shows classification; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
Response to network user shares classification request, sends the notice and the super chain that create network class, and share user's terminal response user to the click of super chain in appointment to all registered users, invites network on-line user to evaluate newly-built classification.
System model analytic system Model Selection variable of the present invention, deposit all variablees in database and the list that is associated in the middle of.Wherein, intermediate variable joins in application program.For example,, by using intermediate variable to find the patent numbers of each document classification.When to Data Update, the historical record help system of these variablees improves the predictive ability of system to data processing.
Secondly, system of the present invention builds new predictive value from raw data, for example use all data to set up the Early-warning Model of a few innovation focus, or set up multiple take data sample as basic innovation hot spot model, the conversion of this document classification at multiple versions and upgrade in very useful.Make system of the present invention realize more accurately and quickly document classification take database as basic transformation model and upgrade, make it consistent with the algorithm of selected innovation analysis of central issue.
System of the present invention also relates to utilizes key search to generate patent analyses set.Described in system of the present invention, inspection adopts a kind of simple retrieval mode, and system relies on field indications difference field location, word place.Field store is in Database Lists.If user only inputs keyword and do not set the field of retrieval and retrieve, retrieve according to the acquiescence search field of system setting.General for the patent data that can use now, in exercise question (TI) and two fields of digest (AB), retrieve.Described in system of the present invention, logical operation retrieve application boolean calculation symbol, comprises AND, OR, NOT, and allows to use bracket pair term nested.The priority level of logical operator is NOT maximum, and secondly AND, is finally OR, and bracket can change the order of logical operation.Meanwhile, native system is supported in an analysis set and chooses subset analysis, and this process is referred to as " data mining ".Data mining is a quadratic search function.Quadratic search is retrieved exactly in existing result for retrieval, in certain (being not limited to for the second time) retrieval, inputs new search condition and retrieves.
System of the present invention links with patent and non-patent website, carries out data area definition according to user's request, comprises on a time period, obtains data according to country origin.System of the present invention can with patent abstract (foreign patent is english abstract) website and the database link thereof of nearly 80 countries and tissue, its data source can reach approximately 6,000 ten thousand, comprises 1,600 ten thousand, the U.S., EPO, PCT patent data.
System of the present invention adopts the patent classification of artificial to analyze innovation focus, and sets up the innovation hotspot database based on event.Further database storage and classification comprise with basic database and links, and set up divide professional, industry-specific database.
Innovation hotspot database also comprises the database of key industry. for example: equipment is manufactured patent database, electronic and communication facility is manufactured patent database, automobile making patent database, modern biotechnology and Pharmaceutical patents database, new material patent database, shipbuilding patent database, petrochemical complex and fine chemistry industry patent database etc.
System of the present invention is used non-patent database in the process of setting up document classification grid chart simultaneously.Also intellecture property Case Retrieval database is carried out to association and statistical study simultaneously.Other related informations also comprise that Department of Science and Technology's scientific and technological achievement database, Tsing-Hua University knows grid database, periodicals and magazines database, patent working database, the information databases such as various intellecture property transfers, technology consultation, technology business, engineering project bid, project management.
Fig. 1 shows a kind of system 100 of innovating focus early warning identification, mainly completes the automatic identification of Classification and Identification and early warning classification thereof.Innovation focus early warning identified server 103 is connected with wide area network, and what in this system 100, represent is connected and can be provided classification analysis information to user's various terminal devices by network, in order to illustrative embodiment.The electric circuitry packages that the operation that innovation focus early warning identified server 103 holds executive system 100 emerges.In system 100, there is the computing equipment of network communication ability, for example, smart mobile phone 104, wireless router 106 net books, notebook computer 108, and electronic whiteboard 110.
The instruction of for example, storing on the computing machine of the computer-readable medium (, hard disk drive, flash card, or other non-volatile memory devices) of the computer-readable program that computing machine 103 responds, carries out its operation.Such program comprises software, for the content of the display screen managed by: (1) external connection display equipment is (for example, digital projector) and/or display device (b), for example, graphoscope, TV, and/or interactive whiteboard) obtaining after computer instruction, carry out system responses, from Computer display user interface and innovation classified calculating result.
In addition, computing machine is set up wired or wireless connection by arranging with outside network device, and the communication network of setting up meets Institute of Electrical and Electronics Engineers (IEEE) 802.11 standards, (IEEE) 802.11b standard, IEEE802.11g standard, or other wireless communication protocol.Set up after such connection, set up each other the two-way communications capabilities of information with another equipment.
Fig. 2 is the hardware structure diagram of an innovation focus early warning recognition system.As shown in the drawing, this system comprises a network computer 201, also comprises: (a) processing unit 210; (2) input equipment 204 (for example, touch-screen, mouse and keyboard), and (c) output unit, for example external connection display apparatus 202 and display device 205.In one embodiment, display device 205 comprises touch-screen display, as the operation of one of input media 204.
In this exemplary embodiment, processing unit 210 is a webserver or workstation.In another embodiment, processing unit 210 is computing machines of a specific use.Processing unit 210 at least comprises following ingredient: (a) in CPU (central processing unit) (" CPU ") 208, (b) in storer 211, (c) in a kind of large data set 212, (d) a kind of video adapter 214; (E) I/O interface 216; And (f) network interface 218.Such assembly is coupled to each other by bus 220.Wherein, be a kind of mass storage device, conventionally in the memory space scope of 2T-8T.
By bus 220 and video adapter 214, the output of the information of processing unit 210 by projector 106 and display device 108 for showing the sort operation result of user to innovation file.By bus 220 and I/O interface 216, processing unit 210:(mono-) via input media 204 reception information by user and (b) optionally, export the operation result information of user to innovation classification by message handler 206 at electronic curtain, projector or printer 209.Connect 218 by bus 220 and network, the radio communication (for example, I/O information) of processing unit 210 is carried out computer communication with other by wired or wireless network (" network of system 100 ").
Storer 211 comprises static RAM (SRAM) (" SRAM "), dynamic ram (" DRAM "), synchronous dram (SDRAM), and/or ROM (read-only memory) (" ROM ").For example, in one embodiment, storer 211 comprises: (a) for store software commands, the ROM of computing machine 201 of the operation that CPU208 carries out, and (b) RAM, for storing the result of intermediate data and other such operations.In addition, computer-readable mediums of such operation at large data set 212, for storage information (for example, software instruction, intermediate data and other results), are ingredients of addressable CPU208 (passing through the processing unit 210 of bus 220 with other) from such information of large data set 212.
The bus structure of this bus 220, as memory bus structure, Memory Controller bus architecture, peripheral bus framework, or video bus framework.In this exemplary embodiment, CPU208 is a general processor.In another embodiment, CPU208 is the specific integrated circuit of application program (" ASIC ")
Fig. 3 is grid schematic diagram, for illustrating that described system shows the plane domain 300 interior display packing of User Defined classification N (C1/C2) at BLOCK-N.Can see, in Fig. 3, N occupies the plane viewing area of computer display, is labeled as 302.This viewing area also comprises the display screen plane domain of viewing area, mobile phone or the smart mobile phone of viewing area, the projector of electronic whiteboard.Wherein, the sector marker C1 of horizontal two points of sections 306 and the sector marker C2 of longitudinal two points of sections 304 form and intersect square in viewing area, or be called transverse section 306 and longitudinally section 304 intersect grid 308.Show that when user inputs to analyze after request, system is analyzed selected data acquisition, then shows classification number, shown classification number is IPC classification number or user-defined classification number.Grid 308 shows the number (not shown) of all patents that classification number C1/C2 comprises simultaneously.Grid 308 is simultaneously for can click the interface region that maybe can touch click.After user's single is clicked, the label that shows current classification comprises keyword in classification declaration and the keyword of user comment.In the time that user clicks all the next classification that shows current classification two times, current classification is retained in to the page for reference simultaneously.The classification having had in the classification that the sorted users showing at grid position creates or importing document; For classification is compared to analysis, IPC classification number indicates IPC number, version number and the comment of prototype version in system, and separately has database table record IPC number, version number and the comment of conversion automatically.Aspect database storage, the record of IPC classification number adopts the each portion of independent charting; The large class of different pieces of information field record, group, large group and group.Prompting user changes Scientific Documents Classification; User can be converted to Scientific Documents Classification user-defined innovation classification or IPC classification; In the time carrying out IPC category conversion, the corresponding relation of IPC can obtain by statistical computation.
Fig. 4 represents the logical flow chart of system of the present invention.First system program detects the correspondence classification of all documents.If the classification of all documents meets analysis condition, analyzing all documents in set has patent classification, and patent classification meets the patent classification that user selects.For example, user can select IPC, US patent class USPC or American-European associating patent classification CPC.User also can select self-defining document classification.In the time having document classification not meet analysis condition, all patents that do not meet analysis condition are generated a list by system, and be shown to user by user interface.When user has redistributed each document after the patent classification that meets analysis condition, system of the present invention generates the document grid chart of each classification automatically, and shows corresponding patent numbers on the grid position that shows classification.After user continues grid position to click, system is clicked and is responded user's single.Described system, after user's single is clicked, shows the label of current classification.The operation that described system also can be clicked and classification is pulled two times of grid position responds.For example, user clicks after grid position for two times, and system shows all the next classification of current classification; Pull and existing classification can be adjusted in contiguous classification.
Grid position is upper and the next intersection region of classification, and this position is used for showing patent numbers.Show that patent numbers is one and is greater than 1 natural number herein.This numerical value be the reference value of innovation focus, and it can provide data reference for engineering technical personnel, scientific and technological information personnel, patent agency lawyer.
User, to not meeting after all patents modifications of analysis condition, system generates a list again.If do not meet analysis condition, system is shown to user by user interface by the patent that does not meet analysis condition again.
When user has redistributed each document after the patent classification that meets analysis condition, system of the present invention generates the document grid chart of each classification automatically, and shows corresponding patent numbers on the grid position that shows classification.
System is after the document grid chart that completes each classification shows, continue the document classification sum comprising in statistical literature grid chart, and this number is recorded as to N, leave in database, and additional current time and request user's user name, user ID and user password information, and these information are carried out associated with N.In the time that system detects that N is greater than 5, a variable FLAG is just set in system, and FLAG is made as to TRUE, represent that this data acquisition (, for generating all data of document grid chart of each classification, being also referred to as document analysis set) can carry out next step early warning analysis.In the time that system detects that N is less than 5, system of the present invention is made as FALSE by variable FLAG, represents that this data acquisition does not meet early warning analysis condition.System is provided with special software module N is checked and record.
When detecting N, system is greater than 5, be that FLAG is while being TRUE, system of the present invention will be selected front 3 patent classifications that patent numbers is maximum, and the background color of the grid position of these front 3 patent classifications is set to respectively to redness, orange and yellow (i.e. the 1st, 2,3 warning levels).In the time that system detects that N is less than 5, variable FLAG is FALSE.Now, described system does not possess early warning analysis condition.System does not change the background color of grid position.
The present invention is also included in the patent classification of first three early warning is carried out to other mark operations.For example, to the overstriking of grid position frame, and change color.Again for example, early warning identifier can comprise increases early warning icon, dodge color or installation signal lamp at early warning digest.Again for example, at the grid position of mark early warning, dodge respectively redness, dodge orange and dodge yellow according to the rank of early warning (i.e. the 1st, 2,3 warning levels).Notice that the 4th color is green, represents not have early warning.Green is not flash color.
After system meets early warning analysis condition (in the time that system detects that N is greater than 5), system of the present invention is carried out next step system early warning analysis, and produces early warning analysis result.Described analysis result includes but not limited to the background color of the grid position to front 4 patent classifications shown in red, orange, yellow, green (i.e. the 1st, 2,3,4 warning levels).
The present invention goes back usage data storehouse technology, and document grid chart is processed, and main treatment scheme comprises the document number that records each grid position, and is labeled as N; In the time that system detects that N is greater than 5, enter system early warning analysis state, and start this grid position to carry out early warning analysis processing; When producing after early warning analysis result, show a color or mark according to warning level at grid position.In the time that system detects that N is less than 5, described system does not enter system early warning analysis state, does not change the background color of the affiliated grid position of this classification;
System completion system early warning analysis of the present invention also produces after early warning analysis result, continues response to network user and shares classification request.All registered users that system can be selected according to user think that these users send the document grid chart with early warning identifier or early warning color, comprise HTML hyperlink and JAVASCRIPT script thereof in its chart.The information of described transmission also comprises the notice and the super chain that create network class, and shares user's terminal response user to the click of super chain in appointment, invites network on-line user to evaluate newly-built classification.The user who is sent to uses one or more terminal devices, comprises that client is desktop computer, notebook computer, wireless mobile platform, comprises PDA, mobile phone or smart mobile phone.These users can be by HTML hyperlink and JAVASCRIPT script thereof in chart.The information of described transmission also comprises that creating the notice of network class and super chain and system of the present invention carries out interaction.Interaction content comprises that online user asks to create keyword, asks newly-built classification, and the document classification position in document grid chart, patent documentation, non-patent analyses are evaluated.
Native system provides information and Literature Acquisition and renewal function, real-time monitoring and the collection of the documentation & info under the data of related subject are carried out on database and network thereof, and new information is moved to data processing and the processing thereof such as filtration and duplicate removal by document classification and statistical study means.Native system is provided with Data Update track database, and utilizes server to realize Real-time Collection, storage, editor and the classification processing to patent documentation and non-patent literature.By these information processing steps, native system can complete real-time monitoring and the collection of the data to relevant early warning theme, the document classification in document grid chart and corresponding quantity of document thereof is upgraded, and regenerate new early warning mark.It should be noted that, it is to carry out the renewal of the affiliated database of early warning identifying information that function is upgraded in real-time information, these documentation & info that upgrade on Main Basis bibliographic data base and internet upgrade operation, realize early warning is identified to relevant document renewal function, thereby produce new early warning mark.For example, a user has set up an early warning theme, native system database just to the patent under this early warning theme and non-patent literature data are monitored in real time and and upgrade gather.Completing after data in literature processing, if enter system early warning analysis state, just start this grid position to carry out early warning analysis processing and produce early warning analysis result, show a color or mark according to warning level at grid position.This grid position show a color comprise redness,
Native system utilizes internet to be connected with user.After network user register, native system provides individuation data displaying format customization function for each network user.By the customization of contents displayed on interface, user can select document grid plate and the associative key thereof paid close attention to most, for native system user provides early warning interface the most easily, comprise that document is browsed, the function such as document navigation, literature search, document subscription, Special Topic Service and personalized service.Native system also provides system management subsystem, and the functions such as Document Classification System management, special topic management and rights management are provided for registered user.
Fig. 5 represents the adjustment situation of self-defined classification.For example, IPC International Classification of Patents G06F can expand to the situation of 500 imagings in the rear display plane of Ga (06/F) region.Here, the present invention is with the example that is applied as of IPC, because IPC classification comprises that 8 portions are (corresponding to nine fascicles of the IPC sorted table of paper printing.Therefore, system of the present invention, in the time of application IPC taxonomic hierarchies, comprises 8 grid demonstration figure as shown in Figure 4.Comprise A: human lives needs; B: operation, transportation; C: chemical, metallurgical; D: weaving, papermaking; E: fixed buildings; F: mechanical engineering, illumination, heating, weapon, explosion; G: physics; H: electricity; The 9th fascicle: guide for use.International Classification of Patents is carried out five-category, is divided into portion, large class, group, large group and group." International Patent Classification (IPC) " can be consulted and used with " International Patent Classification (IPC) keyword index ".
When patent classification G06F can expand to after Ga (06/F), system of the present invention will be in the interior demonstration of plane domain 500, and this region is exactly the region of the G portion of IPC.In order to be applicable to the needs of innovation, by further G portion expansion be: eight parts of Ga-6h, wherein, the longitudinal two points of sections 504 of horizontal two points of sections 506 form grid 508 in viewing area.Response to network user classify show request, system of the present invention is used self-defined classification, show classification grid show figure and each crossover location on correspondence patent numbers.System of the present invention can continue to respond single click and user two click to grid position and the operation that classification pulled of user to grid position; Wherein, single shows the label of current classification after clicking; Click all the next classification that shows current classification two times; Pull and existing classification can be adjusted in contiguous classification.
Fig. 6 represents that system passes through interface response user inquiry request; User can input keyword at query frame 602.System of the present invention can utilize system definition search field indications to limit this keyword for title keyword or for appearing at the keyword in digest.For example: it is title keyword that smart mobile phone/TI limits this keyword, it is title keyword that smart mobile phone/AB limits this keyword.Again for example: it is title keyword that gear case/TI limits this keyword, it is title keyword that gear case/AB limits this keyword.When clicking after inquire button 604, the patent classification that system shows all documents at Computer display in G plane 600.
User clicks intersection region or classification number after seeing that patent classification shows, can further show patents all in described classification number and the list of non-patent literature thereof.These lists comprise: identification number, author, title and classification number (not shown).System of the present invention creates new classification request response to network user, in taxonomy database, carry out classification number inquiry, in the time not mating, on display device, show classification input frame, classification declaration and tag along sort, and point out user's selection sort to create classification number, and after user's click classifications label, recording user categorizing selection, and categorizing selection is recorded in innovation taxonomy database; Wherein, the innovation label of demonstration comprises innovation specific name, classified description, classification number, at least one upper classification number;
Response to network user shares classification request, sends the notice and the super chain that create network class, and share user's terminal response user to the click of super chain in appointment to all registered users, invites network on-line user to evaluate newly-built classification.
What deserves to be explained is that innovation focus early warning recognition system can be used general network computer, normally common apparatus of central processing unit CUP wherein, but in order to take precautions against piracy, in system, set up message handler, sort processor is specialized equipment, is difficult for very much imitated.
Embodiment
The network user opens after computer or mobile phone, and system of the present invention can show native system icon in screen.When user enters after native system, user can input a time period, or input keyword is inquired about.System of the present invention is inputted and is automatically set up an analysis set according to user.Possess after satisfactory classification number when system detects all patent documentations, system produces one or more document grid charts automatically, as shown in Figure 3 and Figure 4.Do not possess after satisfactory classification number when system of the present invention has detected one piece or many pieces of documents, system request user gives classification number of these analysis of allocated.Possess after satisfactory classification number when system detects all patent documentations, system produces one or more document grid charts automatically, as shown in Figure 3 and Figure 4.
In the time that user need to modify to the IPC classification of one piece of patent, user's first-selection finds this piece of patent by inquiring about or browsing, and then clicks the classification number field of this piece of patent, then distributes an IPC to the document.User also can select one piece of patent, then from menu, clicks and revises IPC, and in existing IPC classification, select the IPC distributing.If IPC does not exist in the sorted table of described system, user can click establishment button, then creates an IPC.
When after system responses user request, system of the present invention shows one or more grid classification charts, and, on the position of each classification grid, show corresponding patent number.After user clicks grid position single, system shows the label of current classification.This is to point out according to label for user, creates a new classification number.After classification number creates, this user sends the notice that creates network class to all registered users, the super chain of a subsidiary webpage in notice.When user shares user's terminal response user to the click of super chain in appointment, invite network on-line user to evaluate newly-built classification.Note, when the display device to network user terminals sends demonstration information, user can pass through LAN (Local Area Network), wired wide area network, or wireless network sends.When user proposes information inquiring request, user can use mouse to click the inquire button on the page, or user uses finger to click the inquire button on screen, or user presses the enter key on lower keyboard; In the time that classification is Scientific Documents Classification, system can show scientific and technological classified information, and points out user to change Scientific Documents Classification; User can be converted to Scientific Documents Classification user-defined innovation classification.
Claims (10)
1. a system of innovating focus early warning identification, this system comprises: at least one network computer, at least one central processing unit, network computer storer, message handler, external graphic alphanumeric display; It is characterized in that,
System of the present invention responds the query analysis request of network user's input, carries out classification number coupling in taxonomy database, sends demonstration information and early warning information to the display device of network user terminals
The request that response to network user analyzes the data in literature of a time period, automatically generates the document grid chart of each classification, and show corresponding quantity of document on the grid position that shows classification; System, after the document grid chart that completes each classification shows, continues the document number that in statistical literature grid chart, each grid position comprises, and shows early warning information;
Response to network user shares classification request, sends with HTML hyperlink and JAVASCRIPT script thereof in document grid chart and the chart thereof of early warning identifier or early warning color to all selected registered users.
2. demonstration information as claimed in claim 1 comprises the each classification number showing on document grid chart and grid chart; Subsidiary this classification number of shown classification number uses the information of time and classification number grid position; Wherein, show that the grid position of classification number comprises two points of horizontal and vertical sections, grid position is transverse section and longitudinal section crossover location; It is characterized in that the classification showing is IPC classification number, and the subsidiary version number of each IPC classification number and comment, and record these IPC numbers, version number and comment at database table.The classification that is further characterized in that demonstration is the portion that the record of IPC classification number adopts an IPC of an independent charting; In each independent form, there is the classified information of the large class of different pieces of information field record, group, large group and group.
3. early warning information as claimed in claim 1, is characterized in that described system usage data storehouse records the document number of each grid position, and is labeled as N; In the time that system detects that N is greater than 5, enter system early warning analysis state, and start this grid position to carry out early warning analysis processing; When producing after early warning analysis result, show a color or mark according to warning level at grid position.In the time that system detects that N is less than 5, described system does not enter system early warning analysis state, does not change the background color of the affiliated grid position of this classification.
4. the system of innovation focus early warning identification as claimed in claim 1, comprises at least one central processing unit (CPU) and network interface; Central processing unit (CPU) is common apparatus, for message handler provides computer information processing and information communication ability.The feature of described system also comprises, after the classification number that system is inputted the network user and information inquiring request respond, sends demonstration information to the display device of network user terminals, can pass through LAN (Local Area Network), wired wide area network, or wireless network sends.
5. use as claimed in claim 4 wireless network to send to the display device of network user terminals and send demonstration information, it is characterized in that communication network meets Institute of Electrical and Electronics Engineers (IEEE) 802.11 standards, (IEEE) 802.11b standard, IEEE802.11g standard, or other wireless communication protocol.Set up after such connection, set up each other the two-way communications capabilities of information with another equipment.
6. the system of innovation focus early warning identification as claimed in claim 1 while it is characterized in that clicking all the next classification that shows current classification two times, is retained in the page by current classification for reference simultaneously.Said system relative users proposes after the data analysis request of one or more classification in the time period, the patent data of multiple classification in the time period is analyzed and automatically generated the document grid chart of first classification of this time period.Then said system responds the patent data request of second classification in this time period, automatically generates the document grid chart of second classification, and shows document number on the grid position that shows classification; User's single is clicked or mouse is moved to after the document number showing on grid position, and system shows that the label of current classification comprises in classification declaration and user comment.
7. the system of innovation focus early warning identification as claimed in claim 1 also comprises Literature Acquisition and upgrades function; By real-time monitoring and the collection of the documentation & info on database under the data of relevant early warning theme are carried out and network thereof, the document classification in document grid chart and corresponding quantity of document thereof are upgraded, and regenerate new early warning mark.
8. the system of innovation focus early warning identification as claimed in claim 1, its network user completes after registration, native system provides individuation data displaying format customization function for this network user, by the customization setting of contents displayed on interface, user can select an early warning interface and set up a system management subsystem, and manages for this registered user provides Document Classification System management and special topic.
9. at least one central processing unit as claimed in claim 1, described in its feature, system can be moved on the operating system IPHONE OS of American apple company exploitation, and comprise desktop computer, notebook computer, wireless mobile platform, comprise the terminal devices such as PDA, mobile phone or smart mobile phone.
10. at least one central processing unit as claimed in claim 9, system can be in Android (Android) operating system that operates in Google (Google) described in its feature.The user who is sent to uses one or more terminal devices, comprises that client is desktop computer, notebook computer, wireless mobile platform, comprises PDA, mobile phone or smart mobile phone.These users can be by HTML hyperlink and JAVASCRIPT script thereof in chart.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310617462.3A CN103810243A (en) | 2013-11-29 | 2013-11-29 | Innovative hotspot pre-warning recognition system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310617462.3A CN103810243A (en) | 2013-11-29 | 2013-11-29 | Innovative hotspot pre-warning recognition system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103810243A true CN103810243A (en) | 2014-05-21 |
Family
ID=50707013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310617462.3A Pending CN103810243A (en) | 2013-11-29 | 2013-11-29 | Innovative hotspot pre-warning recognition system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103810243A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126664A (en) * | 2016-06-28 | 2016-11-16 | 北京科华万象科技有限公司 | A kind of patent document lookup method and device |
| CN108010282A (en) * | 2017-11-30 | 2018-05-08 | 中冶南方工程技术有限公司 | The method for drafting of figure and the rescue skills in toxic gas place when toxic gas is distributed |
| CN109669737A (en) * | 2018-12-19 | 2019-04-23 | 百度在线网络技术（北京）有限公司 | Application processing method, device, equipment and medium |
| CN110046148A (en) * | 2019-04-23 | 2019-07-23 | 北京恒冠网络数据处理有限公司 | A kind of patent navigation Service management system based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070156677A1 (en) * | 1999-07-21 | 2007-07-05 | Alberti Anemometer Llc | Database access system |
| CN101714150A (en) * | 2009-05-31 | 2010-05-26 | 上海汉光知识产权数据科技有限公司 | System and method for analyzing technical hotspots and blank spots in patent analysis |
| CN101751458A (en) * | 2009-12-31 | 2010-06-23 | 暨南大学 | Network public sentiment monitoring system and method |
| CN101819573A (en) * | 2009-09-15 | 2010-09-01 | 电子科技大学 | Self-adaptive network public opinion identification method |
| CN102110247A (en) * | 2009-12-25 | 2011-06-29 | 上海汉光知识产权数据科技有限公司 | Analysis system of patent applicant regional technology development tendency |
| CN102855281A (en) * | 2012-07-31 | 2013-01-02 | 李建波 | Automatic patent document updating method and patent publishing and pre-warning system adopting method |
-
2013
- 2013-11-29 CN CN201310617462.3A patent/CN103810243A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070156677A1 (en) * | 1999-07-21 | 2007-07-05 | Alberti Anemometer Llc | Database access system |
| CN101714150A (en) * | 2009-05-31 | 2010-05-26 | 上海汉光知识产权数据科技有限公司 | System and method for analyzing technical hotspots and blank spots in patent analysis |
| CN101819573A (en) * | 2009-09-15 | 2010-09-01 | 电子科技大学 | Self-adaptive network public opinion identification method |
| CN102110247A (en) * | 2009-12-25 | 2011-06-29 | 上海汉光知识产权数据科技有限公司 | Analysis system of patent applicant regional technology development tendency |
| CN101751458A (en) * | 2009-12-31 | 2010-06-23 | 暨南大学 | Network public sentiment monitoring system and method |
| CN102855281A (en) * | 2012-07-31 | 2013-01-02 | 李建波 | Automatic patent document updating method and patent publishing and pre-warning system adopting method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126664A (en) * | 2016-06-28 | 2016-11-16 | 北京科华万象科技有限公司 | A kind of patent document lookup method and device |
| CN108010282A (en) * | 2017-11-30 | 2018-05-08 | 中冶南方工程技术有限公司 | The method for drafting of figure and the rescue skills in toxic gas place when toxic gas is distributed |
| CN108010282B (en) * | 2017-11-30 | 2020-12-04 | 中冶南方工程技术有限公司 | Drawing method of toxic gas distribution time chart and rescue method of toxic gas place |
| CN109669737A (en) * | 2018-12-19 | 2019-04-23 | 百度在线网络技术（北京）有限公司 | Application processing method, device, equipment and medium |
| CN109669737B (en) * | 2018-12-19 | 2023-04-18 | 百度在线网络技术（北京）有限公司 | Application processing method, device, equipment and medium |
| CN110046148A (en) * | 2019-04-23 | 2019-07-23 | 北京恒冠网络数据处理有限公司 | A kind of patent navigation Service management system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | Transformation from IT-based knowledge management into BIM-supported knowledge management: A literature review | |
| CN101739390B (en) | Data transformation based on a technical design document | |
| Falconer et al. | Interactive techniques to support ontology matching | |
| Caldas et al. | Methodology for the integration of project documents in model-based information systems | |
| US20060116994A1 (en) | System and method for interactive multi-dimensional visual representation of information content and properties | |
| JP5570608B2 (en) | Excel-based analysis report creation system and method | |
| CN108509405A (en) | A kind of generation method of PowerPoint, device and equipment | |
| Karam et al. | A terminology service supporting semantic annotation, integration, discovery and analysis of interdisciplinary research data | |
| CN112163420A (en) | NLP technology-based RPA process automatic generation method | |
| KR101007613B1 (en) | Data registration/search support device using a keyword | |
| Jalali et al. | Research trends on big data domain using text mining algorithms | |
| Chou et al. | Integrating XBRL data with textual information in Chinese: A semantic web approach | |
| CN116384889A (en) | Intelligent analysis method for information big data based on natural language processing technology | |
| CN103810243A (en) | Innovative hotspot pre-warning recognition system and method | |
| CN111190965B (en) | Impromptu relation analysis system and method based on text data | |
| US20150154567A1 (en) | Facility management system using perspective definition metadata and method therefor | |
| Noubours et al. | NLP as an essential ingredient of effective OSINT frameworks | |
| CN103810242A (en) | System and method for automatically recognizing innovative literature graticules and literature positions | |
| Liu et al. | LD Connect: A linked data portal for ios press scientometrics | |
| Musabeyezu | Comparative study of annotation tools and techniques | |
| Lamba et al. | Tools and techniques for text mining and visualization | |
| Sun | Research on interest reading recommendation method of intelligent library based on big data technology | |
| JPH113357A (en) | Technological information managing device | |
| Mou et al. | Visual orchestration and autonomous execution of distributed and heterogeneous computational biology pipelines | |
| CA2528506A1 (en) | System and method for interactive multi-dimensional visual representation of information content and properties |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| DD01 | Delivery of document by public notice |
Addressee: KNOWLEDGE GUIDE, INC. Document name: the First Notification of an Office Action |
|
| DD01 | Delivery of document by public notice | ||
| DD01 | Delivery of document by public notice |
Addressee: KNOWLEDGE GUIDE, INC. Document name: Notification that Application Deemed to be Withdrawn |
|
| DD01 | Delivery of document by public notice | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140521 |
|
| WD01 | Invention patent application deemed withdrawn after publication |