CN104361017B - A kind of information processing method understood based on Uniform semantic - Google Patents
A kind of information processing method understood based on Uniform semantic Download PDFInfo
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- CN104361017B CN104361017B CN201410553182.5A CN201410553182A CN104361017B CN 104361017 B CN104361017 B CN 104361017B CN 201410553182 A CN201410553182 A CN 201410553182A CN 104361017 B CN104361017 B CN 104361017B
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G—PHYSICS
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- G06F16/3344—Query execution using natural language analysis
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Abstract
The present invention relates to a kind of information processing method understood based on Uniform semantic, this method realizes that Uniform semantic understands by recording traffic information vocabulary in central information register, specifically includes step：1) central data registry is established, and traffic information vocabulary is recorded in central information register；2) ontology library is established, and traffic information vocabulary is converted into man-machine readable form；3) traffic information cloud service platform is established, and traffic-information service issue is carried out according to traffic information vocabulary in central data registry and ontology library；4) service semantics retrieval module is established, and information retrieval service is provided to service requester.Compared with prior art, the present invention has many advantages, such as to ensure the unified of data in traffic state information platform.
Description
Technical field
The present invention relates to intelligent transportation system integration fields, believe more particularly, to a kind of traffic understood based on Uniform semantic
Cease processing method.
Background technology
In traffic information system process of construction, it is uniformly coordinated and advises due to lacking between urban inner, city and city
It draws, system Construction person often only focuses on the realization of single business, compares shortcoming for management etc., causes existing traffic information
System has depth heterogeneous characteristic, causes to be difficult to realize multidisciplinary information sharing with using, traffic information system interoperability
Difference.The interaction understanding between information system is improved, realizes that the comprehensive utilization of various magnanimity multi-source multidimensional traffic datas is mesh with shared
The urgent task that preceding China's traffic information system construction is faced, and the understanding of traffic state information Uniform semantic is one of weight
The link wanted.Inside information system, the Uniform semantic understanding to information is the foundation stone of system normal operation；In information system
Between, Uniform semantic understanding is to carry out the guarantee of significant information exchange.
At present, the semantic understanding on traffic state information is concentrated mainly on the concept for introducing body." body "
(Ontology) it is initially a philosophical concept, for describing the essence of things, it is that shared conceptual model explicitly formalizes
Specification explanation.Body ensure that different application systems there is no ambiguous understanding, does not deposit the knowledge in same field
Use can be shared in ambiguous knowledge.Therefore, body can carry out specification description to field of urban traffic knowledge, to class
Relation between class carries out explication, urban transportation body is established, so as to solve information sharing and friendship on semantic hierarchies
The problem of mutual.But current method lays particular emphasis on the method for expressing of urban transportation body, the research or intelligent transportation of modeling more
Framework design, and the Uniform semantic based on body understands that research is less in system application, with reference to central data registry
Uniform semantic understanding do not have disclosed document and corresponding technical support, therefore, the traffic based on central data registry
Status information Uniform semantic understanding method for realize intelligent transportation system platform in data unification, improve system opening
And the Uniform semantic understanding for promoting traffic state information in intelligent transportation field has great importance.
The content of the invention
Central information is utilized it is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of
Register records the information processing method understood based on Uniform semantic of traffic information vocabulary.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of information processing method understood based on Uniform semantic, this method in central information register by writing
It records traffic information vocabulary and realizes that Uniform semantic understands, specifically include step：
1) central data registry is established, and traffic information vocabulary is recorded in central information register；
2) ontology library is established, and traffic information vocabulary is converted into man-machine readable form；
3) establish traffic information cloud service platform, and according to traffic information vocabulary in central data registry and ontology library into
Row traffic-information service is issued；
4) service semantics retrieval module is established, and information retrieval service is provided to service requester.
The traffic information vocabulary includes traffic state data vocabulary, transport services core vocabulary and traffic behavior service vocabulary
And the relation vocabulary for three's incidence relation.
The traffic state data vocabulary is recorded including object class, data element example is recorded and write with detector ID attributes
Record, one object class are recorded corresponding multiple data element examples and are recorded, and one data element example records corresponding one
A detector ID attributes are recorded, the object class of the traffic state data vocabulary record including identifier, description title, definition and
Synonymous description name, the data element example record including detector ID, initial time, numerical value and for represent the example institute it is right
The object class name answered, detector ID attributes are recorded including identifier, description name and definition.
The transport services core vocabulary is recorded, data to realize the model or algorithm of traffic behavior service including object class
Element instance is recorded to be recorded with calibrating parameters attribute, and the object class of the transport services core vocabulary is recorded including identifier, description
Name and definition, the data element example are recorded including identifier, calibrating parameters and for representing the object corresponding to the example
Class name, calibrating parameters attribute are recorded including identifier, description name and definition.
The traffic behavior service vocabulary is recorded including object class, data element example is recorded and write with input/output attribute
Record, the object class of the traffic behavior service vocabulary are recorded including identifier, description name, definition and synonymous description name, the number
It is recorded according to element instance including inputting, exporting and for representing the object class name corresponding to the example, the input/output attribute
It records including identifier, description name and definition.
The relation vocabulary entries are recorded comprising identifier, description name and definition.
The foundation of ontology library described in the step 2) specifically includes step：
201) the domain knowledge generalities based on UML, i.e., be modeled domain knowledge using UML；
202) domain knowledge is formalized by Prot é g é instruments using OWL language.
During the bulk form, the formalization for defining object completion to incidence relation is limited by attribute.
The step 3) includes foundation update, the update of central data registry and the evolution of ontology library of service library, tool
Body includes step：
301) traffic information cloud service platform receives the service posting request that ISP submits, and inquires about central data
With the presence or absence of service type, import of services and the output data for describing the service in book, if it has, then perform 302), if
It is no, then performs 303)；
302) the service class corresponding into ontology library addition example, while description information is submitted to service library；
303) description information is submitted to service library, while the metadata that ISP is determined is submitted to central data and stepped on
Remember it is thin apply for registration of, central data registry according to data register article the data of submission are audited, if examination ＆ verification pass through
It performs 304), otherwise performs 305)；
304) central data registry registers data, and synchronously trigger body evolution, the ontology library into
Turn to the update of class and the addition of example；
305) feedback data registration failure information.
Service semantics retrieval module is based on Jena frames in the step 4), and information retrieval service process is specially：Service
Requestor's identity and purview certification are by the way that afterwards, service semantics retrieve the semantic mark that module carries out service request information body
After note, to search engine submit retrieval request, based on the search engine of body complete retrieve after by with the sheet in retrieval result
The associated information on services of body example feeds back to service requester.
Compared with prior art, central data registry is introduced into the semantic understanding of traffic behavior by the present invention, it is ensured that
The unification of data in traffic state information platform provides open service registration mechanism again while semantic understanding is realized.
Description of the drawings
Fig. 1 is the broad flow diagram of the method for the present invention；
Fig. 2 is central data registry basic framework；
Fig. 3 records example for traffic state data；
Fig. 4 records example for traffic state data；
Fig. 5 records example for traffic state data；
Fig. 6 records example for traffic state data；
Fig. 7 is that the present invention is based on the understandings of the traffic state information Uniform semantic of central data registry；
Fig. 8 issues activity diagram for present invention service；
Fig. 9 is service request activity diagram of the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
A kind of information processing method understood based on Uniform semantic, as shown in Figure 1, this method passes through in central information
Traffic information vocabulary is recorded in register and realizes that Uniform semantic understands, specifically includes step：
1) central data registry is established, and traffic information vocabulary is recorded in central information register；
Traffic information vocabulary include traffic state data vocabulary, transport services core vocabulary and traffic behavior service vocabulary and
For the relation vocabulary of three's incidence relation, as shown in Fig. 2, central data registry has recorded being total to for traffic state information field
Vocabulary is enjoyed, these vocabulary cover traffic state data, transport services core, traffic behavior service and the association of their threes and close
System.
Traffic state data vocabulary is recorded including object class, data element example is recorded and recorded with detector ID attributes, and one
A object class is recorded corresponding multiple data element examples and is recorded, and a data element instance records a corresponding detector ID attribute
It records, the object class of traffic state data vocabulary is recorded including identifier, description title, definition and synonymous description name, data element
Plain example is recorded including detector ID, initial time, numerical value and for representing the object class name corresponding to the example, detector ID
Attribute is recorded including identifier, description name and definition.
As shown in figure 3, recording for traffic state data is illustrated by taking the 5min magnitudes of traffic flow as an example：
As shown in Fig. 3 (a), 5min magnitude of traffic flow entities are recorded as object class, and to its determinant attribute unified identifier,
Description title, definition and synonymous description name define.5min magnitude of traffic flow entities need detector ID, initial time and numerical value
Three attributes (Property) describe, and Fig. 3 (b) illustrates recording for attribute by taking detector ID attributes as an example.Fig. 3 (c)
In Fig. 3 (d), data element concept and recording for data element only provide narration name.
Transport services core vocabulary is recorded, data element to realize the model or algorithm of traffic behavior service including object class
Example is recorded to be recorded with calibrating parameters attribute, and the object class of transport services core vocabulary is recorded including identifier, description name and definition,
Data element example is recorded including identifier, calibrating parameters and for representing the object class name corresponding to the example, calibrating parameters
Attribute is recorded including identifier, description name and definition.
As shown in figure 4, Fig. 4 is illustrated by taking the algorithm of California as an example to recording.
Vocabulary is recorded including object class, data element example is recorded and recorded with input/output attribute for traffic behavior service, is handed over
The object class of logical status service vocabulary is recorded to be recorded including identifier, description name, definition and synonymous description name, data element example
Including inputting, exporting and for representing the object class name corresponding to the example, input/output attribute is recorded including identifier, retouched
State name and definition.
As shown in figure 5, recording for traffic state information service is illustrated by taking traffic flow abnormality detection as an example.Traffic flow
Abnormality detection service needs to input traffic flow parameter (such as flow, occupation rate and speed), and whether the output of service is to hand over
Whether interpreter's part occurs traffic congestion.
Relation vocabulary entries are recorded comprising identifier, description name and definition, and it is as shown in Figure 6 that form is recorded in association.
2) ontology library is established, and traffic information vocabulary is converted into man-machine readable form；
Wherein, the foundation of ontology library specifically includes step：
201) the domain knowledge generalities based on UML, i.e., be modeled domain knowledge using UML；
202) domain knowledge is formalized by Prot é g é instruments using OWL language.
During bulk form, the formalization for defining object completion to incidence relation is limited by attribute.
3) establish traffic information cloud service platform, and according to traffic information vocabulary in central data registry and ontology library into
Row traffic-information service issue, as illustrated in figs. 7 and 8, including service library foundation update, central data registry update with
The evolution of ontology library, specifically includes step：
301) traffic information cloud service platform receives the service posting request that ISP submits, and inquires about central data
With the presence or absence of service type, import of services and the output data for describing the service in book, if it has, then perform 302), if
It is no, then performs 303)；
302) the service class corresponding into ontology library addition example, while description information is submitted to service library；
303) description information is submitted to service library, while the metadata that ISP is determined is submitted to central data and stepped on
Remember it is thin apply for registration of, central data registry according to data register article the data of submission are audited, if examination ＆ verification pass through
It performs 304), otherwise performs 305)；
304) central data registry registers data, and synchronously triggers the evolution of body, ontology library into turning to
The update of class and the addition of example；
305) feedback data registration failure information.
4) service semantics retrieval module is established, and information retrieval service is provided to service requester.
Service semantics retrieval module is based on Jena frames in step 4), and information retrieval service is specifically, service requester body
Part and purview certification by afterwards, after service semantics retrieve the semantic tagger that module carries out service request information body, to
Search engine submit retrieval request, based on the search engine of body complete retrieve after by with the instances of ontology phase in retrieval result
Associated meta-service information feeds back to service requester, as shown in figures 7 and 9, specifically includes step：
401) authentication is carried out to service requester, if by performing step 402)；
402) access acts on behalf of A and information is retrieved from ontology library, if not retrieving relevant information, system feedback is believed without matching
A is acted on behalf of in breath to access, and performs step 404), if retrieving relevant information, performs step 403)；
403) purview certification is carried out to service requester, if purview certification not by, system feedback without access rights extremely
A is acted on behalf of in access, and performs step 404), if purview certification by, feedback searching to information to intervention act on behalf of A, and perform
Step 404)；
404) service broker A sends the information of system feedback to service requester.
Claims (5)
1. a kind of information processing method understood based on Uniform semantic, which is characterized in that this method passes through in central information
Traffic information vocabulary is recorded in register and realizes that Uniform semantic understands, specifically includes step：
1) central data registry is established, and traffic information vocabulary is recorded in central information register,
2) ontology library is established, and traffic information vocabulary is converted into man-machine readable form,
3) traffic information cloud service platform is established, and is handed over according to traffic information vocabulary in central data registry and ontology library
Logical information service issue,
4) service semantics retrieval module is established, and information retrieval service is provided to service requester；
The traffic information vocabulary include traffic state data vocabulary, transport services core vocabulary and traffic behavior service vocabulary and
For the relation vocabulary of three's incidence relation；
The traffic state data vocabulary is recorded including object class, data element example is recorded and recorded with detector ID attributes, institute
It states an object class and records corresponding multiple data element examples and record, one data element example records a corresponding detection
Device ID attributes are recorded, and the object class of the traffic state data vocabulary is recorded including identifier, description title, definition and synonymous retouched
State name, the data element example is recorded including detector ID, initial time, numerical value and for representing pair corresponding to the example
As class name, detector ID attributes are recorded including identifier, description name and definition；
The transport services core vocabulary is recorded, data element to realize the model or algorithm of traffic behavior service including object class
Example is recorded to be recorded with calibrating parameters attribute, the object class of the transport services core vocabulary record including identifier, description name and
Definition, the data element example are recorded including identifier, calibrating parameters and for representing the object class name corresponding to the example,
Calibrating parameters attribute is recorded including identifier, description name and definition；
Vocabulary is recorded including object class, data element example is recorded and recorded with input/output attribute, institute for the traffic behavior service
The object class for stating traffic behavior service vocabulary is recorded including identifier, description name, definition and synonymous description name, the data element
Example is recorded including inputting, exporting and for representing the object class name corresponding to the example, and the input/output attribute records bag
Include identifier, description name and definition；
The relation vocabulary entries are recorded comprising identifier, description name and definition.
A kind of 2. information processing method understood based on Uniform semantic according to claim 1, which is characterized in that institute
The foundation for stating the ontology library described in step 2) specifically includes step：
201) the domain knowledge generalities based on UML, i.e., be modeled domain knowledge using UML；
202) domain knowledge is formalized by Prot é g é instruments using OWL language.
A kind of 3. information processing method understood based on Uniform semantic according to claim 2, which is characterized in that institute
During stating bulk form, the formalization for defining object completion to incidence relation is limited by attribute.
A kind of 4. information processing method understood based on Uniform semantic according to claim 1, which is characterized in that institute
Stating step 3) includes foundation update, the update of central data registry and the evolution of ontology library of service library, specifically includes step：
301) traffic information cloud service platform receives the service posting request that ISP submits, and inquires about central data registration
With the presence or absence of service type, import of services and the output data for describing the service in thin, if it has, then perform 302), if it has not,
It then performs 303)；
302) the service class corresponding into ontology library addition example, while description information is submitted to service library；
303) description information is submitted to service library, while the metadata that ISP is determined submits to central data registry
It applies for registration of, central data registry registers article according to data and the data of submission are audited, if examination ＆ verification passes through execution
304), otherwise perform 305)；
304) central data registry registers data, and synchronously triggers the evolution of body, the ontology library into turning to
The update of class and the addition of example；
305) feedback data registration failure information.
A kind of 5. information processing method understood based on Uniform semantic according to claim 1, which is characterized in that institute
It states service semantics retrieval module in step 4) and is based on Jena frames, information retrieval service process is specially：Service requester identity
And purview certification is by afterwards, and after service semantics retrieve the semantic tagger that module carries out service request information body, Xiang Jian
Index holds up submission retrieval request, will be related to the instances of ontology in retrieval result after completing to retrieve based on the search engine of body
The information on services of connection feeds back to service requester.
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| CN104809151B (en) * | 2015-03-11 | 2018-10-26 | 同济大学 | A kind of traffic heterogeneous data integrating method based on various dimensions |
| CN106933832A (en) * | 2015-12-30 | 2017-07-07 | 中国科学院沈阳自动化研究所 | A kind of construction method of the digital dictionary of oil reservoir |
| CN105701193A (en) * | 2016-01-11 | 2016-06-22 | 同济大学 | Method for rapidly searching for traffic big data dynamic information and application thereof |
| CN112104697B (en) * | 2018-05-31 | 2022-03-04 | 华为技术有限公司 | Data processing method, multi-cloud management system and related equipment |
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