CN103279344A - Method and system for supporting isomeric sensor semantic registration - Google Patents
Method and system for supporting isomeric sensor semantic registration Download PDFInfo
- Publication number
- CN103279344A CN103279344A CN2013102010588A CN201310201058A CN103279344A CN 103279344 A CN103279344 A CN 103279344A CN 2013102010588 A CN2013102010588 A CN 2013102010588A CN 201310201058 A CN201310201058 A CN 201310201058A CN 103279344 A CN103279344 A CN 103279344A
- Authority
- CN
- China
- Prior art keywords
- sensor
- meta
- model body
- model
- class
- 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.)
- Granted
Links
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The invention relates to the technical field of smart city geographic information service, and discloses a method and system for supporting isomeric sensor semantic registration. The method comprises the following steps that a first step is that a sensor meta-model body used for storing sensor metadata information is constructed; a second step is that a mapping relation from a sensor registration information model to the sensor meta-model body is established. The system comprises a device used for constructing the sensor meta-model body which is used for storing the sensor metadata information, and a device used for establishing the mapping relation from the sensor registration information model to the sensor meta-model body. The method for supporting the isomeric sensor semantic registration is beneficial to accurate discovery and efficient management of an isomeric sensor.
Description
Technical field
The present invention relates to wisdom urban geographic information service technology field, relate in particular to the semantic process registration of a kind of support heterogeneous sensor and system.
Background technology
The earth observation technology constantly develops, and a large amount of remote sensing satellites are launched continuously, and that Aero-Space remote sensing has entered is multi-platform, the developing stage of multisensor and many observation methods.Have a large amount of heterogeneous sensors in the sensing net, for example nearly 10000 weather stations, the Yangtze river basin, 1000 hydrometric stations carry out hydrologic monitoring with 137 satellites, multiple hydrographic information is provided.There is different descriptions in heterogeneous sensor for identical concept and term, can produce semantic conflict and redundancy.The efficient management of these sensors and the demand of accurately finding become strong day by day, and the registration of heterogeneous sensor is significant for sharing with interoperability of sensor resource, thereby satisfies comprehensive diversified demand in the earth observation.
(Sensor Model Language, sensor information model SensorML) can provide the description of the metadata information of sensor based on the sensor modeling language.The sensor information model can't be realized the description to the sensor resource semantic information, is difficult to satisfy the requirement that heterogeneous sensor is accurately found and efficiently managed.In order to improve the interoperability of sensor, need set up a kind of sensor body meta-model.In order to realize the management of geographical space metadata information, OGC(Open Geographic Information System association) formulated relevant directory service interface standard (Catalog Service for Web, CSW) the binding ebRIM(ebXML Registry Information Model that can formulate with metadata information model (as OASIS(structured message standard evolution tissue))) effectively is applied to the geospatial information resource.Log-on message model (ebRIM) has the description framework of standard, has defined object class, attribute type, grammer and matched rule, helps interconnecting of the information that strengthens.Can realize storage and the inquiry of sensor based on ebRIM, but it can't directly support the semanteme registration of sensor.In order to realize the semanteme registration of heterogeneous sensor, need be that sensor meta-model body is stored with the log-on message model conversion, and in directory service, add semantic description, provide a kind of platform of supporting multiple heterogeneous sensor to find and visit to solve semantic conflict and the redundancy of heterogeneous sensor.
Incorporate the Intelligent treatment that semantic technology helps to provide geographical spatial data in the directory service, mainly comprise the dual mode realization: the one, the log-on message model be dissolved in semanteme.As, Paolucci et al. is mapped to Ontology Web Language for Services (OWL-S) semantic description of realizing UDDI in the UDDI data model.In addition, incorporate semanteme and can pass through three kinds of modes in ebRIM: (1) adopts the xslt convert file to realize that OWL is to the mapping of ebRIM key element, as GeoNetwork(GN)-ebRIM; (2) newly-increased class, classification framework, relation and attribute expansion ebRIM increase semantic information, as U.S. George Mason University (GMU)-CSW; (3) body and relation are disassembled be dissolved in the ebRIM framework.The 2nd, realize the semantic query in the directory service.The realization of semantic query can be passed through dual mode: (1) expansion directory service interface, directly support semantic query; (2) interface of the service of not chdiring is created the coupling that semantic middleware is realized query resource and Query Result.
Analysis-by-synthesis, there is following problem in present semantic registration service:
(1) only support the semanteme of indirect sensors observe phenomenon to register.As the sensors observe registration service of 52 ° of North tissue constructions need set up with the linking of directory service.This registration and published method can cause losing of information, make query time increase greatly.
When (2) searching sensor information, there are semantic conflict and redundancy.If when describing the same attribute of sensor, adopted different describing modes, carry out can having semantic conflict when this attribute is searched, make Query Result imperfect.Existing service is difficult to solve the semantic conflict problem in the heterogeneous sensor query script
(3) can't support the semantic reasoning of heterogeneous sensor.These services can be described the grammatical levels information of log-on message model, but the reasoning information that needs in sensor discovery and the interoperability can't be provided.
Summary of the invention
At the problems referred to above, the present invention has designed a kind of sensor meta-model body, has proposed the semantic process registration of a kind of support heterogeneous sensor, helps accurate discovery and the efficient management of heterogeneous sensor.
The technical solution adopted in the present invention is: the semantic process registration of a kind of support heterogeneous sensor, it is characterized in that, and may further comprise the steps:
Step 1: the sensor meta-model body that makes up the storage sensor metadata information;
Step 2: make up sensor log-on message model to the mapping relations of described sensor meta-model body.
As preferably, described step 1 also comprises following substep:
Step 2.1: element and the mutual relationship of analyzing described sensor meta-model body;
Step 2.2: the class that makes up described sensor meta-model body;
Step 2.3: the relation that makes up described sensor meta-model body;
Step 2.4: the attribute that makes up described sensor meta-model body;
Step 2.5: the individual instances that makes up described sensor meta-model body.
As preferably, described step 2 also comprises following substep:
Step 3.1: base attribute, extended attribute, relation and the classification framework of analyzing registry object in the described sensor log-on message model;
Step 3.2: make up registry object base attribute in the described sensor log-on message model to the mapping relations of described sensor meta-model body;
Step 3.3: make up registry object extended attribute in the described sensor log-on message model to the mapping relations of described sensor meta-model body;
Step 3.4: make up the mapping relations that registry object in the described sensor log-on message model is related to described sensor meta-model body;
Step 3.5: make up the mapping relations that registry object in the described sensor log-on message model is categorized into described sensor meta-model body.
Technical scheme of the present invention also comprises a kind of system that supports the semantic registration of heterogeneous sensor, it is characterized in that, comprising:
The device that is used for the sensor meta-model body of structure storage sensor metadata information; This device comprises: be used for to analyze the element of described sensor meta-model body and mutual relationship device, be used for making up the class of sensor meta-model body device, be used for making up the relation of sensor meta-model body device, be used for making up the attribute of sensor meta-model body device, be used for making up the device of the individual instances of sensor meta-model body;
Be used for making up sensor log-on message model to the device of the mapping relations of sensor meta-model body; This device comprises: the attribute that is used for analyte sensors log-on message model registry object, the device of relation and classification framework, be used for sensor registry object base attribute to the device of the mapping relations of sensor meta-model body, be used for making up sensor registry object extended attribute to the device of the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is related to the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is categorized into the mapping relations of sensor meta-model body.
The present invention has the following advantages and good effect with respect to prior art:
(1) provide the direct sensor of support semantic register method.With respect to the indirect register method of 52N sensors observe registration service, the sensor meta-model body of design can directly be registered to semantic registration center with sensor information.The user can directly carry out storage and the visit of sensor, can realize quick renewal and the operation of sensor information, is convenient to user's inquiry and management;
(2) help to search semantic disambiguation in the sensor process.The sensor meta-model body that makes up helps to solve the semantic conflict problem that exists when searching sensor information;
(3) can support the sensor semantic reasoning.The sensor meta-model ontology describing of design the information of sensor metadata on semantic hierarchies, be the basis of realizing the semantic registration service of sensor.The framework of sensor meta-model body helps to realize the reasoning of internal relation in the sensor, as the reasoning of the implicit observing capacity of sensor.
Description of drawings
Fig. 1: be the semantic process registration process flow diagram of support heterogeneous sensor of the present invention.
Fig. 2: the structure process flow diagram that is the sensor meta-model body that provides of the embodiment of the invention.
Fig. 3: the synoptic diagram that is the sensor meta-model body construction of embodiment of the invention structure.
Fig. 4: be the synoptic diagram that sensor meta-model body that the embodiment of the invention provides carries out instantiation.
Fig. 5: be that the realization sensor log-on message model that provides of the embodiment of the invention is to the process flow diagram of sensor meta-model Ontology Mapping.
Fig. 6: be that the base attribute of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.
Fig. 7: be that the extended attribute of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.
Fig. 8: be that the relationship description of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.
Fig. 9: be that the classified description of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.
Embodiment
Directory service can effectively be applied to retrieval and the management of sensor metadata, forms content and the function meet self needs, and services such as inquiry externally are provided.The present invention has made up a kind of heterogeneous sensor meta-model body, helps the unified management of multiple sensors; In directory service, carry out semantic extension at the log-on message model, thereby realized that the storage of sensor semantic information makes up the semantic registration service of sensor.
Also the invention will be further described by reference to the accompanying drawings with specific embodiment below.
Ask for an interview Fig. 1, Fig. 2, Fig. 5, the technical solution used in the present invention is: the semantic process registration of a kind of support heterogeneous sensor may further comprise the steps:
Step 1: the sensor meta-model body that makes up the storage sensor metadata information; Step 1 also comprises following substep:
Step 2.1: element and the mutual relationship of analyte sensors meta-model body;
Step 2.2: the class that makes up sensor meta-model body;
Step 2.3: the relation that makes up sensor meta-model body;
Step 2.4: the attribute that makes up sensor meta-model body;
Step 2.5: the individual instances that makes up sensor meta-model body.
Step 2: make up sensor log-on message model to the mapping relations of sensor meta-model body; Step 2 also comprises following substep:
Step 3.1: the base attribute of registry object, extended attribute, relation and classification framework in the analyte sensors log-on message model;
Step 3.2: the registry object base attribute is to the mapping relations of sensor meta-model body in the structure sensor log-on message model;
Step 3.3: the registry object extended attribute is to the mapping relations of sensor meta-model body in the structure sensor log-on message model;
Step 3.4: registry object is related to the mapping relations of sensor meta-model body in the structure sensor log-on message model;
Step 3.5: registry object is categorized into the mapping relations of sensor meta-model body in the structure sensor log-on message model.
Asking for an interview Fig. 3, is the synoptic diagram of the sensor meta-model body of embodiment of the invention structure.The element of sensor meta-model body and mutual relationship details are asked for an interview table 1.
Table 1: the class of sensor meta-model body and the implication instruction card of relation
The main information of representing the sensor meta-model from two aspects.Ask for an interview table 1, the one, the class of description sensor information; The 2nd, for the class of describing the sensor metadata information.Class smo:Datatype comprises 9 subclasses (smo:General, smo:Property, smo:geoPosition, smo:timespaceRef, smo:History, smo:Contraint, smo:Contact, smo:Interface, smo:AssociationClass), be used for the data type that expression sensor NOT-function type information adopts, can describe the metadata information of sensor NOT-function type.Class smo:General comprises 6 subclasses, ask for an interview table 2, wherein smo:ClassificationClass comprises four subclasses: (1) smo:SensorClassification_IntendedApplication_Class describes the class of sensor expection application class information; (2) smo:SensorClassification_ServiceType_Class describes the class of the COS classified information of sensor; (3) smo:SensorClassification_SystemType_Class describes the class of sensing system classification of type information; (4) smo:SensorClassification_OrbitType_Class describes the class of the classification of track classified information of sensor, is used for describing the classified information of sensor.
Table 2: class and subclass explanation in the sensor meta-model body
Wherein: sensor meta-model body has comprised 13 contextual definitions, asks for an interview table 1.Connect with relation " describedBy " between class smo:nonFunctional and the smo:DataType, the sensor information of expression NOT-function type can be described by corresponding data type.Connect with relation " describedBy " between class smo:Functional and the smo:ProcessElementType, the sensor information of presentation function type can be described by corresponding key element type.Other relationship descriptions are connected with relation " hasGeneralInfo " with smo:General as class smo:Identification, and the class that expression is used for mark sensor comprises the general property info class, elaborate one by one in table 1, do not do tired stating at this.
Wherein: the definition of sensor meta-model body attribute lays particular emphasis on the mark of Sensor core information, mainly comprises key word, full name, observation scope, I/O, positional information, effective time and the classification framework etc. of sensor.The attribute specification of sensor meta-model body is asked for an interview table 3.
Table 3: the attribute specification of sensor meta-model body
Wherein: make up the individual instances of sensor meta-model body, this patent adopts sensor Moderate Imaging Spectroradiomete (MODIS) to carry out the instantiation explanation.Asking for an interview Fig. 4, is that the embodiment of the invention adopts MODIS that sensor meta-model body is carried out the synoptic diagram of case description, carries out instantiation at information such as the ID of sensor, title, observation scope, effective time, input, outputs respectively.Table 3 is asked for an interview in the class name explanation among Fig. 4.Instantiation from sensor meta-model body to the MODIS individuality is described below:
(1) describing sensor after the sensor class smo:Sensor instantiation is MODIS;
(2) the ID value of describing MODIS after the ID class smo:sensorIDClass instantiation of sensor is urn:ogc:feature:remotesensor:scanner:MODIS_AQUA;
(3) full name of describing MODIS after the sensor full name class smo:sensorLongNameClass instantiation is the resolution imaging spectrometer;
(4) describe keyword relevant among the MODIS after the crucial part of speech smo:sensorKeywordsClass of the sensor instantiation, comprise remote sensing, top, cloud border and characteristic, ocean water colour, phytoplankton, ozone, MODIS;
(5) classified description of the classified sensor MODIS of sensor comprises expection application, COS and system type, uses the instantiation of (earth observation imaging, top imaging, cloud border and ozone monitoring, ocean water colour imaging) as expection and describes from sensor expection application class smo:SensorClassification_IntendedApplication_Class;
(6) instantiation of MODIS COS (sensors observe service) is from sensor COS class smo:SensorClassification_ServiceType_Class;
(7) instantiation of MODIS system type (scan-type imager) is from sensing system class smo:SensorClassification_SystemType_Class;
(8) the observation scope latitude scope of MODIS is described after the sensors observe scope class smo:sensorBBOXClass instantiation :-90 ° to 90 °, longitude scope :-180 ° to 180 °;
(9) effective zero-time of describing MODIS after effective zero-time class smo:sensorValidTimeBegin instantiation of sensor is 2002-05-04T00:00:00.0Z;
(10) effective termination time of describing MODIS after effective termination time class smo:sensorValidTimeEnd instantiation of sensor is 2014-05-04T00:00:00.0Z;
(11) contact details of expression MODIS are US National Aeronautics and Space Administration after the contact details class smo:Contact instantiation of sensor;
(12) the input information of expression MODIS is radiation after the input class smo:Input instantiation of sensor;
(13) the input information of expression MODIS after the output class smo:Output instantiation of sensor comprises red wave band, green wave band, near-infrared band.
Step 3.1 wherein: the base attribute of registry object, extended attribute, relation and classification framework in the analyte sensors log-on message model; The specific implementation process is by the analysis to registry object in the sensor log-on message model, and the description of its registry object is divided into base attribute information, extended attribute information, relation information and four parts of classified information.Base attribute information directly adopts the attribute description of ebRIM class, comprises object type, ID, title, the descriptor of sensor; Extended attribute information adopts the extended attribute slot of ebRIM class to describe, and comprises abbreviation, keyword, effective time, positional information, observation scope information, input, output and the parameter information of sensor; Relation information adopts the relation object of ebRIM to describe, and comprises addressable relation, sensor input relation and sensor output relation between component relationship, sensor and the service of sensor; Classified information adopts the classification framework of ebRIM to describe, and comprises four kinds of the expection application, COS, system type of sensor and classification of track.
Asking for an interview Fig. 6, is that the base attribute (sensor type, sensor ID, title, descriptive information) of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.Being described as follows of base attribute mapping relations among Fig. 6: rim:ExtrinsicObject represents the external object class of registry object information model; @ObjectType represents the type attribute of registry object; @id represents the ID attribute of registry object; Rim:Name represents the title of registry object; Rim:description represents the descriptor of registry object; Rim:LocalizedString represents that attribute type is character string; @value represents the description value of certain attribute; Smo:SensorIdClass describes the class of sensor id information; Smo:SensorlongNameClass describes the class of sensor full name information.The mapping relations of base attribute comprise:
(1) the sensor object type is mapped among the description sensor class smo:Sensor storage sensor object-type information;
(2) sensor ID information is mapped to the subclass smo:SensorIdClass of smo:General, the storage sensor id information;
(3) sensor name is mapped to the subclass smo:SensorlongNameClass of smo:General, the full name information of storage sensor;
(4) the sensor descriptive information is mapped to the subclass smo:SensorDescriptionClass of smo:General, the basic explanation information of storage sensor.
Asking for an interview Fig. 7, is that the extended attribute (the attribute sensor information except base attribute) of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body; Rim:Slot represents the extended attribute of log-on message model among the figure, represents that as/rim:ExtrinsicObject/rim:Slot=shortName the extended attribute of registry object is the abbreviation of sensor.Other are described as follows among the figure: keywords represents the sensor keyword; ValidTimeBegin and ValidTimeEnd represent effective beginning and ending time of sensor; Location represents the positional information of sensor; ObservedBoundingBox represents the observable range information of sensor; Inputs represents the input information of sensor; Outputs represents the output information of sensor; Parameters represents the parameter information of sensor.Basic mapping relations comprise:
(1) sensor abbreviation information is mapped to class smo:sensorShortNameClass;
(2) the sensor key word information is mapped to class smo:sensorKeywordsClass;
(3) the effective zero-time of sensor is mapped to class smo:sensorValidTimeBegin;
(4) effective termination time of sensor is mapped to class smo:sensorValidTimeEnd;
(5) sensing station information is mapped to class smo:sensorLocationClass;
(6) the sensors observe range mappings is to class smo:sensorBBOXClass;
(7) sensor input information is mapped to class smo:Input;
(8) sensor output information is mapped to class smo:Output;
(9) sensor parameters information is mapped to class smo:Parameter.
Asking for an interview Fig. 8, is that the relationship description of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.Its mapping relations comprise:
(1) relationship map between sensing system and the assembly is to class smo:SensorAssociation_ComposedOf_Class;
(2) relationship map between sensor and the service is to class smo:SensorAssociation_AccessibleThrough_Class;
(3) the input relationship map of sensing system and sensor module is to class smo:SensorAssociation_InputConnection_ Class;
(4) output relation of sensing system and sensor module is mapped to class smo:SensorAssociation_OutputConnection_Class.
The relationship description of sensor registry object specifies to the mapping relations of sensor meta-model body, asks for an interview table 4:
Table 4: the relationship description of sensor registry object is to the mapping relations instruction card of sensor meta-model body
| Title | Implication |
| rim:Association | The relation of expression registry object sensor |
| ComposedOf | The relation that the expression sensing system is made up of assembly has connected sensing system and assembly, and the expression system which assembly is made of |
| AccessibleThrough | Relation between expression service and the sensor is used for Connection Service class and registry object class |
| InputConnection | The input relation of expression sensing system and sensor module has connected sensing system and sensor module, represents the relation in input between them |
| OutputConnection | The output relation of expression sensing system and sensor module has connected sensing system and sensor module, represents the relation in output between them |
Asking for an interview Fig. 9, is that the classified description of the structure sensor registry object that provides of the embodiment of the invention is to the mapping relations synoptic diagram of sensor meta-model body.Wherein: rim:ClassificationScheme represents the classification framework of registry object; IntendedApplication represents that the classification framework of registry object for the expection application, for example can comprise class node-water monitoring Water, and can add subclassification node-freshwater monitoring FloodDetection for registry object; SystemType represents the classification framework descriptive system type of registry object; ServiceType represents that the classification framework of registry object describes the COS of sensor, can comprise the node of sensors observe COS node and sensor planning COS; OrbitType represents that the classification framework of registry object describes the classification of track of sensor platform, can comprise the class node of sun synchronous orbit (SunSynchonous).
Basic mapping relations comprise:
(1) sensor expection application class is mapped to class smo:SensorClassification_IntendedApplication_Class;
(2) sensor COS classification map is to class smo:SensorClassification_ServiceType_Class;
(3) the sensing system classification of type is mapped to class smo:SensorClassification_SystemType_Class;
(4) sensor platform classification of track classification map is to class smo:SensorClassification_OrbitType_Class.
By the definition of above-mentioned mapping relations, can support the semanteme registration of heterogeneous sensor, help to realize the efficient management of sensor.
Technical scheme of the present invention also comprises a kind of system that supports the semantic registration of heterogeneous sensor, comprising:
The device that is used for the sensor meta-model body of structure storage sensor metadata information; This device comprises: be used for to analyze the element of described sensor meta-model body and mutual relationship device, be used for making up the class of sensor meta-model body device, be used for making up the relation of sensor meta-model body device, be used for making up the attribute of sensor meta-model body device, be used for making up the device of the individual instances of sensor meta-model body;
Be used for making up sensor log-on message model to the device of the mapping relations of sensor meta-model body; This device comprises: the attribute that is used for analyte sensors log-on message model registry object, the device of relation and classification framework, be used for sensor registry object base attribute to the device of the mapping relations of sensor meta-model body, be used for making up sensor registry object extended attribute to the device of the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is related to the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is categorized into the mapping relations of sensor meta-model body.
Specific embodiment described herein only is that the present invention's spirit is illustrated.Those skilled in the art can make various modifications or replenish or adopt similar mode to substitute described concrete enforcement, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.
Claims (4)
1. support the semantic process registration of heterogeneous sensor for one kind, it is characterized in that, may further comprise the steps:
Step 1: the sensor meta-model body that makes up the storage sensor metadata information;
Step 2: make up sensor log-on message model to the mapping relations of described sensor meta-model body.
2. the semantic process registration of support heterogeneous sensor according to claim 1 is characterized in that described step 1 also comprises following substep:
Step 2.1: element and the mutual relationship of analyzing described sensor meta-model body;
Step 2.2: the class that makes up described sensor meta-model body;
Step 2.3: the relation that makes up described sensor meta-model body;
Step 2.4: the attribute that makes up described sensor meta-model body;
Step 2.5: the individual instances that makes up described sensor meta-model body.
3. the semantic process registration of support heterogeneous sensor according to claim 1 is characterized in that described step 2 also comprises following substep:
Step 3.1: base attribute, extended attribute, relation and the classification framework of analyzing registry object in the described sensor log-on message model;
Step 3.2: make up registry object base attribute in the described sensor log-on message model to the mapping relations of described sensor meta-model body;
Step 3.3: make up registry object extended attribute in the described sensor log-on message model to the mapping relations of described sensor meta-model body;
Step 3.4: make up the mapping relations that registry object in the described sensor log-on message model is related to described sensor meta-model body;
Step 3.5: make up the mapping relations that registry object in the described sensor log-on message model is categorized into described sensor meta-model body.
4. a system that supports the semantic registration of heterogeneous sensor is characterized in that, comprising:
The device that is used for the sensor meta-model body of structure storage sensor metadata information; This device comprises: be used for to analyze the element of described sensor meta-model body and mutual relationship device, be used for making up the class of sensor meta-model body device, be used for making up the relation of sensor meta-model body device, be used for making up the attribute of sensor meta-model body device, be used for making up the device of the individual instances of sensor meta-model body;
Be used for making up sensor log-on message model to the device of the mapping relations of sensor meta-model body; This device comprises: the attribute that is used for analyte sensors log-on message model registry object, the device of relation and classification framework, be used for sensor registry object base attribute to the device of the mapping relations of sensor meta-model body, be used for making up sensor registry object extended attribute to the device of the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is related to the mapping relations of sensor meta-model body, be used for making up the device that the sensor registry object is categorized into the mapping relations of sensor meta-model body.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310201058.8A CN103279344B (en) | 2013-05-27 | 2013-05-27 | A kind of method and system supporting isomeric sensor semantic registration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310201058.8A CN103279344B (en) | 2013-05-27 | 2013-05-27 | A kind of method and system supporting isomeric sensor semantic registration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103279344A true CN103279344A (en) | 2013-09-04 |
| CN103279344B CN103279344B (en) | 2016-03-30 |
Family
ID=49061884
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310201058.8A Active CN103279344B (en) | 2013-05-27 | 2013-05-27 | A kind of method and system supporting isomeric sensor semantic registration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103279344B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103747453A (en) * | 2014-01-15 | 2014-04-23 | 武汉大学 | Online open planning supporting method and system for dissimilar intelligent wireless sensors |
| CN103973799A (en) * | 2014-05-16 | 2014-08-06 | 胡宝清 | Resource and environment data decision support platform |
| CN104462244A (en) * | 2014-11-19 | 2015-03-25 | 武汉大学 | Smart city heterogeneous data sharing method based on meta model |
| CN106897405A (en) * | 2017-02-15 | 2017-06-27 | 中国地质大学（武汉） | A kind of construction method and device of geographical space Sensor Network body |
| CN107301198A (en) * | 2017-05-16 | 2017-10-27 | 浙江大学 | A kind of semantic data construction method under constrained environment |
| CN109447267A (en) * | 2018-10-16 | 2019-03-08 | 东北石油大学 | The descriptor body constructing method of fused data member standard |
| WO2019178774A1 (en) * | 2018-03-21 | 2019-09-26 | 西门子（中国）有限公司 | Model description method and apparatus for sensor |
| CN111752544A (en) * | 2020-06-29 | 2020-10-09 | 郑州大学 | Method for constructing ontology model supporting semantic expression of satellite-borne sensor observation process |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050195561A1 (en) * | 2004-03-08 | 2005-09-08 | Smith Renato L. | Wall-mountable computer having an integrated keyboard |
| CN102668509A (en) * | 2009-11-26 | 2012-09-12 | 阿尔卡特朗讯公司 | Management framework and method for retrieving software identification information pertaining to a sensor in a network |
| CN103064673A (en) * | 2012-12-21 | 2013-04-24 | 武汉大学 | Mapping method and system for supporting direct registration of sensor |
-
2013
- 2013-05-27 CN CN201310201058.8A patent/CN103279344B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050195561A1 (en) * | 2004-03-08 | 2005-09-08 | Smith Renato L. | Wall-mountable computer having an integrated keyboard |
| CN102668509A (en) * | 2009-11-26 | 2012-09-12 | 阿尔卡特朗讯公司 | Management framework and method for retrieving software identification information pertaining to a sensor in a network |
| CN103064673A (en) * | 2012-12-21 | 2013-04-24 | 武汉大学 | Mapping method and system for supporting direct registration of sensor |
Non-Patent Citations (2)
| Title |
|---|
| 陈瑶 等: "传感网环境下传感器信息建模与注册方法研究", 《地理信息世界》, 28 February 2013 (2013-02-28), pages 51 - 57 * |
| 陈能成 等: "对地观测语义传感网的进展与挑战", 《地球信息科学学报》, 31 December 2012 (2012-12-31), pages 675 - 677 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103747453A (en) * | 2014-01-15 | 2014-04-23 | 武汉大学 | Online open planning supporting method and system for dissimilar intelligent wireless sensors |
| CN103747453B (en) * | 2014-01-15 | 2017-01-04 | 武汉大学 | A kind of method and system supporting the open planning online of heterogeneous intelligent wireless sensor |
| CN103973799B (en) * | 2014-05-16 | 2017-06-06 | 胡宝清 | A kind of resource environment data decision support platform |
| CN103973799A (en) * | 2014-05-16 | 2014-08-06 | 胡宝清 | Resource and environment data decision support platform |
| CN104462244B (en) * | 2014-11-19 | 2017-10-03 | 武汉大学 | A kind of smart city isomeric data sharing method based on meta-model |
| CN104462244A (en) * | 2014-11-19 | 2015-03-25 | 武汉大学 | Smart city heterogeneous data sharing method based on meta model |
| CN106897405A (en) * | 2017-02-15 | 2017-06-27 | 中国地质大学（武汉） | A kind of construction method and device of geographical space Sensor Network body |
| CN106897405B (en) * | 2017-02-15 | 2018-06-15 | 中国地质大学（武汉） | A kind of construction method and device of geographical space Sensor Network ontology |
| CN107301198A (en) * | 2017-05-16 | 2017-10-27 | 浙江大学 | A kind of semantic data construction method under constrained environment |
| WO2019178774A1 (en) * | 2018-03-21 | 2019-09-26 | 西门子（中国）有限公司 | Model description method and apparatus for sensor |
| CN109447267A (en) * | 2018-10-16 | 2019-03-08 | 东北石油大学 | The descriptor body constructing method of fused data member standard |
| CN109447267B (en) * | 2018-10-16 | 2021-04-06 | 东北石油大学 | Construction method of narrative ontology fused with data element standard |
| CN111752544A (en) * | 2020-06-29 | 2020-10-09 | 郑州大学 | Method for constructing ontology model supporting semantic expression of satellite-borne sensor observation process |
| CN111752544B (en) * | 2020-06-29 | 2023-11-10 | 郑州大学 | Method for constructing ontology model supporting semantic expression in observation process of satellite-borne sensor |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103279344B (en) | 2016-03-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103279344B (en) | A kind of method and system supporting isomeric sensor semantic registration | |
| Van Aart et al. | Mobile cultural heritage guide: location-aware semantic search | |
| CN111324679B (en) | Method, device and system for processing address information | |
| CN103609144A (en) | Method and apparatus for resolving geo-identity | |
| CN107016084A (en) | A kind of place name address quickly positions the method with inquiry | |
| CN107122415A (en) | Place name address library data merges integrated system | |
| CN103064673B (en) | A kind of mapping method and system supporting direct registration of sensor | |
| Keßler | Similarity measurement in context | |
| Ganzha et al. | Alignment-based semantic translation of geospatial data | |
| Mast et al. | Mapping urban villages using fully convolutional neural networks | |
| Wu et al. | Uplifting air quality data using knowledge graph | |
| CN111126422B (en) | Method, device, equipment and medium for establishing industry model and determining industry | |
| Calì et al. | Improving intelligence through use of Natural Language Processing. A comparison between NLP interfaces and traditional visual GIS interfaces. | |
| Hassani et al. | CDQL: A Generic Context Representation and Querying Approach for Internet of Things Applications | |
| CN104765763A (en) | Semantic matching method for heterogeneous spatial information service classification based on concept lattice | |
| Probst et al. | Giving meaning to GI web service descriptions | |
| Fonteles et al. | An adaptive context acquisition framework to support mobile spatial and context-aware applications | |
| Hu et al. | Geospatial web-based sensor information model for integrating satellite observation | |
| Nogueira | A framework for automatic annotation of semantic trajectories | |
| Regalia | Computational Time and Space Tradeoffs in Geo Knowledge Graphs | |
| Christoph et al. | Using semantic web technology for ubiquitous location and situation modeling | |
| Tran et al. | Towards a semantic framework for exploiting heterogeneous environmental data | |
| Di Buccio et al. | A system for exposing linguistic linked open data | |
| Lee et al. | A hybrid approach to context modelling in large-scale pervasive computing environments | |
| CN106294583A (en) | A kind of OGC geographic information services semantic similarity calculation method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |