CN104376077A - Ontology-based data integration system oriented to radar information format - Google Patents
Ontology-based data integration system oriented to radar information format Download PDFInfo
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Abstract
The invention discloses an ontology-based data integration system oriented to a radar information format. The data integration system comprises a radar data integration global ontology library, a radar data integration domain ontology library, a radar data integration alignment ontology library, an ontology data conversion module, an ontology alignment module and a unified data operation module, wherein the radar data integration global ontology library is used for describing a radar data integration sharing terminology library and the relation between terminologies; the radar data integration domain ontology library is used for interpreting radar terminal output data; the radar data integration alignment ontology library is used for establishing the mapping relation between radar data integration domain ontology and global ontology; the ontology data conversion module is used for monitoring the radar terminal output data and converting the radar terminal output data into the form of ontology data; the ontology alignment module is used for acquiring the terminology relation between the global ontology and the domain ontology; the unified data operation module is used for forming application oriented to the superstratum and being connected with a unified data interface of a substratum terminal data source at the same time.
Description
Technical field
The invention belongs to radar data process applied technical field, in particular to a kind of system utilizing ontology to carry out radar intelligence (RADINT) data integration.
Background technology
Radar network composite to be distributed in diverse location, different system, different frequency range, different working modes, the radar of different polarization mode or other passive detection equipment, multiple means of communication is utilized to connect into net, and by organic whole that central station unified allocation of resources is formed.In net, the detection data of each radar node is collected by central station, comprehensive, process, to form information of overall importance; Meanwhile, each radar node also can adjust duty according to situation change adaptively, thus the detection completed in whole coverage and location tasks.Radar Netting Technique can effectively improve detection range and detection accuracy, significantly promotes Effectiveness of Radar System.
Need first to solve the isomerism that radar terminal shares data in radar network composite process, and then form unified mechanism of data access, for the fusion treatment of information lays the foundation.But, active service radar the old and new of current China also deposit and developed by different producers, the data heterogeneous question such as semanteme, form disunity have been there is in radar network composite process, cause Radar Intelligence Information to have difficulties in integrated, fusion, be specifically mainly manifested in: 1. data definition is inconsistent; 2. data structure is not identical; 3. data name implication disunity.Therefore, must solve the problem and could realize the efficient fusion of radar information, play the value of radar network composite.
Existing radar data is integrated mainly to be taked format conversion and introduces XML middleware two kinds of modes, and wherein the method for format conversion needs programing work loaded down with trivial details in a large number, and adaptability is poor, has distinct disadvantage; The method introducing XML middleware has certain advantage compared to format conversion, and it, by being described data and data pattern, can realize the elimination of syntax clash, but can not represent semantic relation, cannot process conflict semantically.
Body is the clear and definite canonical representation of shared ideas, is the semantic meaning representation of data pattern.The object of body realizes sharing and reusing of realm information, realizes machine and exchange with the semantic information of machinery compartment with people, machine.At present, ontology has been widely used in the data integration of intelligent transportation system, multi-source remote sensing, the emergent multiple fields such as platform, business collaboration, if mandate publication number is the patent of invention of CN101382942A [information system data integration method that a kind of service-oriented based on body cooperates].Ontology is introduced radar intelligence (RADINT) data integration field and can effectively solve the problems such as faced Heterogeneous data, Semantic Heterogeneous, realize the data integration on semantic hierarchies, thus significantly improve the data-handling efficiency of radar network system.
Summary of the invention
Goal of the invention: technical matters to be solved by this invention is for the deficiencies in the prior art, provide a kind of based on the data integrated system of body towards radar intelligence (RADINT) form, the data semantic realized in radar network composite process between different model radar is integrated.
In order to solve the problems of the technologies described above, the invention discloses a kind of data integrated system towards radar intelligence (RADINT) form based on body, comprise the integrated overall ontology library of radar data, radar data integration field ontology library, the integrated aligning ontology library of radar data, domain body data conversion module, body alignment modules, uniform data operational module.
The integrated overall ontology library of described radar data, for describing towards the shared terminology bank of radar network data integration and the relation between term and term; It comprises the relation between the term of the aspects such as information source, discovery time, target property information, target lot number, Targets Dots and term, and these terms and concrete data integration, data fusion method have nothing to do, and is mainly used in three process of radar data.
Described radar data integration field ontology library, makes an explanation for exporting data to radar terminal, for it increases semantic information; It comprises relation between the technical terms relevant to specific radar terminal such as terminal attribute, target reporting, Targets Dots, targetpath and term, is mainly described the secondary treating data of radar information.
The integrated aligning ontology library of described radar data, for setting up the mapping relations between radar data integration field body and overall body, makes overall body and domain body be appreciated that semantic information each other.The local rule that radar information transforms to overall radar information is provided simultaneously.
Described ontology data modular converter, exports data for monitoring radar terminal, and converts thereof into the form of ontology data.First radar terminal is exported data transformations and becomes XML format by it, carries out ontological at recycling domain body to XML format data;
Described body alignment modules, for resolving aligning body, and utilize description logics reasoning, rule-based reasoning obtains term relationship between overall body and domain body.
Described uniform data operational module, for shielding the difference of bottom domain body, forming surface, to upper layer application, connects the uniform data interface in lower floor's terminal data source simultaneously, the change of radar terminal data source can not be had an impact to upper layer application.First this module accepts the data manipulation for overall body, calls the result of alignment modules, this operation is decomposed, maps to concrete domain body; Then data operating result is carried out comprehensively, and be back to upper layer application.
It is as follows that system performs step:
A, the integrated overall body of structure radar data, build the integrated overall body of radar data;
B, towards certain model radar or data format standard, build radar data integration field body;
C, based on the integrated overall body of radar data and domain body, build radar data integrated aligning body;
D, Data Format Transform, export data and convert XML (eXtensible Markup Language, XML) form to and verify by radar terminal;
E, data semantic mark, by radar data integration field body, for the radar terminal data of XML format add semantic information;
F, data query, send data query operation requests for the integrated overall body of radar data;
G, body are aimed at, and the operation of the integrated overall body of radar data will be changed into the operation to radar data integration field body;
H, result are packed, and the raw data operating result exported are converted into the integrated overall ontology data operating result of radar data to radar terminal.
Described steps A comprises:
A-1, by natural language processing technique, obtain radar data integrated in all terms;
Father and son between A-2, structure term, subordinate relation;
The integrated overall body of A-3, constructed radar data comprises the relation between information source, discovery time, target property information, target lot number, the term of Targets Dots and described term.
Described step B comprises:
B-1, for participating in often kind of radar of radar network composite or often kind of data format standard, based on the data item in data format in standard, form terminology;
Father and son in B-2, structure terminology between term, subordinate relation;
B-3, constructed radar data integration field body comprise relation between terminal attribute, target reporting, Targets Dots, the technical term of targetpath and corresponding radar terminal and term.
Described step C comprises:
C-1, analyze for the integrated overall body of radar data and radar data integration field body, preliminary screening goes out between the two to exist the term set of relation;
C-2, the basic operation means of intersecting and merging, non-, of equal value, property value restriction are used to describe relation between the integrated overall body of radar data and radar data integration field body successively.
Described step D comprises:
D-1, by received radar measured data, change into the file of XML format according to certain rule (as binary data message, text, html file);
D-2, carry out pattern confirmation to XML file, whether grammer and the form of analyzing this XML file be correct.
Described step e comprises:
E-1, based on radar data integration field body, parsing is carried out to it and obtains semantic;
E-2, be that the radar terminal data of XML format increase ontological interpretation according to radar data integration field Ontology.
Described step F comprises:
F-1, Java ontology development kit Jena is utilized to set up data query engine;
F-2, send data inquiry request, with constructed this request of data query engine process with simple protocol and resource description framework query language SPARQL (Simple Protocol and RDF QueryLanguage).
Described step G comprises:
G-1, the semanteme utilizing the integrated overall body of radar data to provide, resolution data operation requests;
G-2, for the integrated overall body of radar data, radar data integration field body and the integrated aligning body of radar data contacting them, be described logic and rule-based reasoning;
G-3, utilize the reasoning results, by the operation map of the integrated overall body of radar data to radar data integration field body.
Described step H comprises:
H-1, based on the integrated overall body of radar data, the radar terminal XML data of query semantics;
H-2, utilize the integrated aligning body of radar data, the ontology data that inquiry obtains is processed, obtains final operating result.
Beneficial effect of the present invention is as follows:
(1) solve the structure of different-format and standard room in radar network composite data integration process, semantic inconsistence problems, provide the unified interface of data integration, reduce the difficulty of radar network data integration;
(2) radar data integrated approach and knowledge model are separated from trifling application logic, make it be easy to reuse, improve the extendability of data integrated system, opening and adaptability;
(3) the integrated overall body of radar data is that radar network data integration provides term, defines the data integration conceptual view independent of the concrete pattern of data source, reduces the degree of coupling between upper layer application and bottom radar data.
Accompanying drawing explanation
To do the present invention below in conjunction with the drawings and specific embodiments and further illustrate, above-mentioned and/or otherwise advantage of the present invention will become apparent.
Fig. 1 is based on the data integrated system composition structural drawing of body towards radar intelligence (RADINT) form.
Fig. 2 is integrated overall body (part) term of radar data and term relationship figure.
Fig. 3 is " ASTERIX " form radar data integration field body (part) term and term relationship figure.
Fig. 4 is the data integration procedure chart of the radar intelligence (RADINT) form based on body.
Embodiment
As shown in Figure 1, based on the data integrated system towards radar intelligence (RADINT) form of body, data can be exported to the radar of different model, different system and carry out integrated, thus it is shared to realize radar data.System comprises the integrated overall body of radar data, radar data integration field ontology library, the integrated aligning ontology library of radar data, domain body data conversion module, body alignment modules, uniform data operational module;
The integrated overall ontology library of described radar data, for describing towards the shared terminology bank of radar network data integration and the relation between term and term; Term involved by it has radar, radar model, radar site, coordinate, discovery time, target lot number, Targets Dots etc.; Between involved term, relation is primarily of set membership, component relationship, relation on attributes, and wherein relation on attributes can be expanded.Represented by the integrated overall body ontology description language OWL (Ontology Web Language, OWL) of radar data, Fig. 2 is graph of a relation between the integrated overall body part term of radar data and term.
Described radar data integration field ontology library, makes an explanation for exporting data to radar terminal, for it increases semantic information.Radar data integration field body and concrete radar format standard or radar model closely related, generally comprise the relation between the aspect terms such as terminal attribute, target reporting, Targets Dots, targetpath and these terms, this body represents with Ontology Language OWL equally.Based on ASTERIX (All Purpose Structured Euro controlRadar Information Exchange, ASTERIX) data exchange standard, the data integration domain body of structure as shown in Figure 3.
The integrated aligning ontology library of described radar data, for setting up the mapping relations between radar data integration field body and overall body, makes overall body and domain body be appreciated that semantic information each other.The local rule that radar information transforms to overall radar information is provided simultaneously.Such as, the term of " coordinates of targets " is there is in radar data overall situation body, and in ASTERIX data integration domain body, there is the polar coordinate position term such as " target is apart from distance by radar ", " angle on target ", utilize ontology development instrument prot é g é to build and aim at the mapping relations of ontology construct between them, enable the application be based upon on overall body understand the data described with domain body, thus facilitate the process of radar terminal data.
Described ontology data modular converter, exports data for monitoring radar terminal, and converts thereof into the form of ontology data.First radar terminal is exported data transformations and becomes XML format by it, namely the XML Schema built is utilized to generate XML data, use DOM Document Object Model (Document Object Model, DOM) to carry out pattern confirmation to XML, confirm the validity of XML file; Recycling domain body carries out ontological to XML format data, first utilizes Jena to resolve domain body, generates the ontology data based on resource description framework (Resource DescriptionFramework, RDF) on this basis;
Described body alignment modules, for resolving aligning body, and utilize description logics reasoning, the relation such as rule-based reasoning obtains equivalence between overall body and domain body term, comprise.Such as, by reasoning, can show that in overall body, " target location " exists the relation that can describe with rule, computing module with the term such as " target is apart from distance by radar ", " angle on target " on domain body.
Described uniform data operational module, for shielding the difference of bottom domain body, forming surface, to upper layer application, connects the uniform data interface in lower floor's terminal data source simultaneously, the change of radar terminal data source can not be had an impact to upper layer application.First this module accepts the SPARQL data query for overall body, calls the result of body alignment modules, this operation is decomposed, maps to concrete domain body, obtain concrete data manipulation result; Then data operating result is carried out comprehensively, and be back to upper layer application.
Embodiment
Fig. 4 is specific embodiment of the invention process, comprises the following steps:
(1) radar data overall situation body is built:
In conjunction with radar network data integration demand, Ontology Editing Tool prot é g é is utilized to be described the relation between shared term required in radar data integrating process and term.In the integrated overall body of radar data, term adopts word frequency-reverse document ordering (Term Frequency – Inverse Document Frequency, TF-IDF) method, carries out keyword abstraction acquisition to the paper in radar network data integration field, monograph, technical report.Set membership between term adopts following methods to determine: whether there is notional common factor by the term and existing term of determining new acquisition, if there is no then add in overall body, if existed, then according to following situation process: the sub-concept 1. as existing concept is added; 2. the father's concept as existing concept is added; 3. for the situation not meeting two conceptions of species above, (Intersection) is handed over to related notion and its correct position is determined in the operation such as (Union), (equal) of equal value.
(2) towards specific model radar or data format standard, radar data integration field body is built:
Need the data format networked for often kind, build radar data integration field body.This type of body is explicit description to the data item in radar data standard, term and relation and explanation.The structure of data integration domain body by centered by, by self, combing term wherein and relation are come to the understanding of specific criteria.First, by analyzing specific criteria, based on the data item in data format in standard, terminology is formed; Then term is analyzed, thus set up the relation such as father and son, subordinate between term.The building process of domain body is also the process of knowledge alienation.
(3) based on the integrated overall body of radar data and domain body, the integrated aligning body of radar data is built:
The integrated overall ontology describing of radar data be the semanteme of data required for radar network data integration process and data; Radar data integration field body is then for concrete data format standard or radar model, and the term described wherein is semantic.Although term between the two conceptually exists certain relation, be difficult between them understand mutually completely, be thus difficult to realize the data integration between numerous radar network.
First tentatively drawing by calculating overall body and the index of similarity of the term in domain body, figure the term set existing and associate, filtering out term similar further on this basis; Then, operated in by intersecting and merging, non-etc. between the term similar belonging to overall body and domain body and set up mapping relations, final foundation aims at body.
(4) radar terminal is exported data and converts XML format to:
XML format has data content and data show the advantage be separated, and makes Dynamic data exchange in gallery and handling procedure, radar terminal is exported data and converts XML format to, can make full use of the advantage of XML, reduces the difficulty of data integration.
In concrete transfer process, first carry out receiving radar data by existing communication infrastructure, it is made an explanation, measurement data is wherein changed into the file of XML format according to certain rule.Then on this basis, the analytical tools such as DOM Document Object Model DOM are utilized to carry out pattern confirmation to XML, whether test document meets the constraint condition be applied on its Doctype, and whether grammer and the form of analyzing this XML document be correct, to ensure that being supplied to data does not occur mistake and loss.
(5) by domain body, for the radar terminal data of XML format add semantic information:
Based on radar data integration field body, be that the radar terminal data of XML format increase ontological interpretation, computing machine be appreciated that and exchange radar terminal data through mark basis for providing semantic between each radar network, making data integration more intelligent.
Owing to there is a kind of XML grammer with the ontology data of OWL language representation: RDF/XML, therefore, there are following three kinds of modes: first kind of way use Extensible Stylesheet Language (XSL) conversion (Extensible Stylesheet Language Transformation, XSLT) has carried out the conversion from XML to RDF/XML for XML format increases ontology semantic information; Java XML is bound (Java XML Bindings, JAXB) to the second way and Velocity template engine combines generation RDF; The third mode utilizes Jena to resolve existing body, by means of DOM Document Object Model DOM in the mode of programming to XML process, generate the body of RDF form.
In the present invention, main the third mode of employing is that the radar terminal data of XML format add semantic information, is first resolved domain body by Jena, obtains semantic information wherein; Then, utilize DOM Document Object Model DOM to resolve XML and obtain its data content comprised, by the semantic information obtained above, ontological is carried out to it.。
(6) for data integration overall situation body, the data operation request such as inquiry are sent:
The upper layer application such as the main data-oriented of the integrated overall body of radar data is integrated, the difference of shielding bottom domain body, reduces the degree of coupling of upper layer application and radar terminal data layout, and then improves extendability and the adaptability of radar network data integration.
First utilize Jena to load overall body, aim at body and exported data by the radar of domain body semantization, Jena builds data query engine on the basis of above-mentioned data; Then, utilize SPARQL as query language on query engine, send inquiry request to interested radar integrated information, this request is mainly based on overall body, and its data query result returns with the form of specifying such as XML etc.In fact, SPARQL is not only a kind of query language for body, or a kind of data acquisition protocols, describes SPARQL client and how to carry out alternately with query engine.
(7) operation of overall body will be changed into the operation to radar data integration field body:
First, data query engine, after receiving data inquiry request, by the semanteme utilizing overall body to provide, resolves this request; Then body alignment modules runs inference machine, and inference machine utilizes the description logics reasonings such as relation of equivalence detection, inclusive detection, consistency detection and other rules to carry out reasoning, obtains the reasoning results; Finally, result by inference, by the query mappings for overall body on respective data integration domain body, such as, for the inquiry of " target location " in overall body, be finally mapped to the inquiry of the term such as " target is apart from distance by radar ", " angle on target " on domain body.
The operation of overall body will be changed into the operation to radar data integration field body, this process automatically can complete in the query engine built by Jena.
(8) overall ontology data operating result is converted into by the operating result of raw data:
In this step, first query engine utilizes the execution result of previous step, inquires about adding semantic XML data, as the concrete numerical value of inquiry " radar site ", " target is apart from distance by radar ", " angle on target "; Then the mapping ruler aimed at and define in body is utilized, Query Result is processed, as according to rule, to the computing module of the concrete data call target location such as " radar site ", " target is apart from distance by radar ", " angle on target ", the longitude and latitude of final Generate Target Position, return as the Query Result of " target location " in overall body, finally complete the process of data integration.
The invention provides a kind of based on the data integrated system of body towards radar intelligence (RADINT) form; the method and access of this technical scheme of specific implementation is a lot; the above is only the preferred embodiment of the present invention; should be understood that; for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.The all available prior art of each ingredient not clear and definite in the present embodiment is realized.
Claims (10)
1. one kind based on the data integrated system of body towards radar intelligence (RADINT) form, it is characterized in that, comprise the integrated overall ontology library of radar data, radar data integration field ontology library, the integrated aligning ontology library of radar data, domain body data conversion module, body alignment modules and uniform data operational module.
The integrated overall ontology library of described radar data, for describing towards the shared terminology bank of radar network data integration and the relation between term and term;
Described radar data integration field ontology library, makes an explanation for exporting data to radar terminal, for it increases semantic information;
The integrated aligning ontology library of described radar data, for setting up the mapping relations between radar data integration field body and overall body, makes the integrated overall body of radar data and radar data integration field body semantic information each other communicate;
Described ontology data modular converter, exports data for monitoring radar terminal, and converts thereof into the form of ontology data;
Described body alignment modules, for resolving aligning body, and utilize description logics reasoning, rule-based reasoning obtains term relationship between overall body and domain body;
Described uniform data operational module, for shielding the difference of bottom domain body, forming surface is to upper layer application, and connect the uniform data interface in lower floor's terminal data source, when making the change of radar terminal data source, upper layer application remains unchanged simultaneously.
2. system according to claim 1, is characterized in that, it is as follows that system performs step:
A, the integrated overall body of structure radar data, build the integrated overall body of radar data;
B, towards certain model radar or data format standard, build radar data integration field body;
C, based on the integrated overall body of radar data and domain body, build radar data integrated aligning body;
D, Data Format Transform, export data and convert easily extensible markup language XML format to and verify by radar terminal;
E, data semantic mark, by radar data integration field body, for the radar terminal data of XML format add semantic information;
F, data query, send data query operation requests for the integrated overall body of radar data;
G, body are aimed at, and the operation of the integrated overall body of radar data will be changed into the operation to radar data integration field body;
H, result are packed, and the raw data operating result exported are converted into the integrated overall ontology data operating result of radar data to radar terminal.
3. system according to claim 2, is characterized in that, described steps A comprises:
A-1, by natural language processing technique, obtain radar data integrated in all terms;
Father and son between A-2, structure term, subordinate relation;
The integrated overall body of A-3, constructed radar data comprises the relation between information source, discovery time, target property information, target lot number, the term of Targets Dots and described term.
4. system according to claim 2, is characterized in that, described step B comprises:
B-1, for participating in often kind of radar of radar network composite or often kind of data format standard, based on the data item in data format in standard, form terminology;
Father and son in B-2, structure terminology between term, subordinate relation;
B-3, constructed radar data integration field body comprise relation between terminal attribute, target reporting, Targets Dots, the technical term of targetpath and corresponding radar terminal and term.
5. system according to claim 2, is characterized in that, described step C comprises:
C-1, analyze for the integrated overall body of radar data and radar data integration field body, preliminary screening goes out between the two to exist the term set of relation;
C-2, the basic operation means of intersecting and merging, non-, of equal value, property value restriction are used to describe relation between the integrated overall body of radar data and radar data integration field body successively.
6. system according to claim 2, is characterized in that, described step D comprises:
D-1, by received radar measured data, change into the file of XML format;
D-2, carry out pattern confirmation to XML file, whether grammer and the form of analyzing this XML file be correct.
7. system according to claim 2, is characterized in that, described step e comprises:
E-1, based on radar data integration field body, parsing is carried out to it and obtains semantic;
E-2, be that the radar terminal data of XML format increase ontological interpretation according to radar data integration field Ontology.
8. system according to claim 2, is characterized in that, described step F comprises:
F-1, Java ontology development kit Jena is utilized to set up data query engine;
F-2, send data inquiry request with simple protocol and resource description framework query language SPARQL, with constructed this request of data query engine process.
9. system according to claim 2, is characterized in that, described step G comprises:
G-1, the semanteme utilizing the integrated overall body of radar data to provide, resolution data operation requests;
G-2, for the integrated overall body of radar data, radar data integration field body and the integrated aligning body of radar data contacting them, be described logic and rule-based reasoning;
G-3, utilize the reasoning results, by the operation map of the integrated overall body of radar data to radar data integration field body.
10. system according to claim 2, is characterized in that, described step H comprises:
H-1, based on the integrated overall body of radar data, the radar terminal XML data of query semantics;
H-2, utilize the integrated aligning body of radar data, the ontology data that inquiry obtains is processed, obtains final operating result.
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