CN1466046A - Knowledge pattern system and method using ontologics as basis - Google Patents
Knowledge pattern system and method using ontologics as basis Download PDFInfo
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- CN1466046A CN1466046A CNA021401616A CN02140161A CN1466046A CN 1466046 A CN1466046 A CN 1466046A CN A021401616 A CNA021401616 A CN A021401616A CN 02140161 A CN02140161 A CN 02140161A CN 1466046 A CN1466046 A CN 1466046A
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Abstract
The inventio nis a knowledge graph system based on ontology and the method. The system includes a data storage device and a processor; the data storage device contains ontic database with multiple relationships between concepts; the processor coupled with the data storage device causes that multiple objects, corresponding object names and containing relationship between objects are picked up; to each object, according to name, query corresponding concept in the ontic database, if not existing, add new concept of corresponding object in the ontic database and specity the relationship between the concept and other concepts, and according to corresponding object's concept and containing relationship between objects, found ontic concept relationship graph corresponding to the graph file, corresponding content knowledge and the graph file in the knowledge library.
Description
Technical field
The present invention relates to computer software, especially a kind of knowledge figure system and method based on ontology (Ontology), and be particularly to a kind ofly can upgrade the knowledge figure system and method based on ontology that notion (Concept) in the ontology database is related with it and set up the Ontological concept associated diagram of respective graphical archives by the identification Graphic Documentation automatically.
Background technology
Along with the moulding of trend electronic age, the continuous transmission of information also forms the lasting accumulation of knowledge (Knowledge) between network.For tissue or specific area, a knowledge base system is carried out information management and experience is heavily enjoyed by setting up usually with application in the collection of knowledge.How effectively and positively manage and be at present very one of hot topic and important research project for knowledge.Because ontology can be directly and is structurally depicted human knowledge, by setting up the association between different concepts, can be loyal and show the structure of knowledge of specific area clearly.
Fig. 1 shows the Ontological concept configuration diagram of a network communication industry.As shown in the figure, can comprise two subject concepts under the network communication industry 100: the Internet 110 and conventional telecommunications industry 120.The Internet can comprise for 110 times dials and connects notions such as 111; Conventional telecommunications industry 120 can be divided into two conceptions of species of fixed network 121 and wireless 122 kenels, and also has the notion of telecommunications service 123, equipment 124 and microwave/satellite 125, mobile phone 126 respectively, by that analogy.Therefore, ontology can be fit to be used for complete effectively framework knowledge base system.
Traditional ontologies no matter be hierarchy type (Hierarchical) or graphical (Graphical) expression, usually because notion or relation are too many, is difficult for allowing the user understand related between a knowledge body or knowledge and notion.Ontology representation method based on interior literary composition (Context), can select proper knowledge attribute and relation according to interior civilian difference, but lack an expression mode of understanding easily, be not easy to allow the user understand in this related between knowledge body under the literary composition or knowledge and notion.And,, can not from two similar figures, understand and the similar and different part of two figures at knowledge body as Organization Chart or process flow diagram in the method for traditional graph-based knowledge body.
In addition, very complicated and loaded down with trivial details for maintenance work based on the knowledge base system of ontology.Because the notion of acquisition must carry out to(for) new knowledge or information is with corresponding, therefore, the expert that needs are familiar with this field very much just can be competent at the renewal and the maintenance of notion in the knowledge base.
Summary of the invention
In view of this, fundamental purpose of the present invention provides and a kind ofly can upgrade the knowledge figure system and method based on ontology that notion in the ontology database is related with it and set up the Ontological concept associated diagram of respective graphical archives by the identification Graphic Documentation automatically.
In addition, another object of the present invention is by the combining of the background information of figure and respective graphical, can be so that the user more can understand related between knowledge body or knowledge and notion.
In order to reach above-mentioned purpose of the present invention, can reach by the knowledge figure system and method based on ontology provided by the present invention.
The knowledge graphics system based on ontology according to the embodiment of the invention comprises a data memory device and a processor.Comprise the related ontology database and the knowledge shape library that have between a plurality of notions and notion in the data memory device.
Processor is coupled to data memory device, causes by the relation of inclusion between a plurality of objects of acquisition in the Graphic Documentation and corresponding object oriented and the object.Then, for each object according to its object oriented by query corresponding concept in the ontology database, if concept of corresponding object do not exist, then newly-increased concept of corresponding object in ontology database, and in ontology database related between specified concept and other notion.Afterwards, according to the relation of inclusion between concept of corresponding object and the object set up the Ontological concept associated diagram, content corresponding knowledge of corresponding this Graphic Documentation, therewith Graphic Documentation in the knowledge shape library.
Wherein, processor is inquired about by comparison of notion keyword or concept similarity comparison by query corresponding concept in the ontology database according to the object oriented of object.In addition, the relation of inclusion between the object can be according to coordinate and the area and learn of each object in Graphic Documentation.
In addition, according to the knowledge graphical method based on ontology of the embodiment of the invention, at first, by the relation of inclusion between a plurality of objects of acquisition in the Graphic Documentation and corresponding object oriented and the object.Then, for each object according to its object oriented by query corresponding concept among the ontology database.If the notion of corresponding this object does not exist, then the notion of newly-increased corresponding this object and is specified related between this notion and other notion in ontology database among ontology database.
Afterwards, according to the notion of corresponding these objects and the Ontological concept associated diagram that the relation of inclusion between the object is set up corresponding this Graphic Documentation.And with the content knowledge of this Graphic Documentation, respective graphical archives, be stored in the knowledge shape library with the Ontological concept associated diagram of respective graphical archives.
Similarly, processor is to inquire about by comparison of notion keyword or concept similarity comparison according to the object oriented of object by query corresponding concept in the ontology database.In addition, the relation of inclusion between the object can be according to coordinate and the area and learn of each object in Graphic Documentation.
The invention has the beneficial effects as follows, by the knowledge figure system and method based on ontology proposed by the invention, can upgrade the Ontological concept associated diagram that notion in the ontology database is related with it and set up the respective graphical archives automatically by the identification Graphic Documentation.In addition, show a knowledge body with traditional figure among the present invention, be convenient to allow the user understand based on ontology.Each figure has just been represented the content in ontologies, is easier to allow the user understand difference between different content.
Description of drawings
For above-mentioned purpose of the present invention, feature and advantage can be become apparent, embodiment cited below particularly, and cooperate appended diagram, be described in detail as follows:
Fig. 1 is the Ontological concept framework of a synoptic diagram display network communication industry;
Fig. 2 is that a synoptic diagram shows the system architecture based on the knowledge graphics system of ontology according to the embodiment of the invention;
Fig. 3 is that a process flow diagram shows the operating process based on the knowledge graphical method of ontology according to the embodiment of the invention;
Fig. 4 is a Graphic Documentation example;
Fig. 5 handles the Ontological concept associated diagram of back gained through the present invention for the Graphic Documentation of Fig. 4.
Symbol description:
100,110 ..., 126 notions;
200 data memory devices;
201 ontology databases;
202 knowledge data bases;
210 processors;
220 Graphic Documentations;
S300, S310 ..., the S350 operation steps;
400 Graphic Documentations;
500,510 ..., 520 notions.
Embodiment
Fig. 2 shows the system architecture based on the knowledge graphics system of ontology according to the embodiment of the invention.
The knowledge graphics system based on ontology according to the embodiment of the invention comprises a data memory device 200 and a processor 210 that is coupled to data memory device 200.Comprise an ontology database 201 and a knowledge shape library 202 in the data memory device 200.Association in the ontology database 201 between a plurality of notions of record and the notion.Stylus point is to the Ontological concept associated diagram and the content corresponding knowledge of different graphic archives in the knowledge shape library 202.
Then, each object of obtaining for acquisition of processor 210 according to its object oriented by query corresponding concept in the ontology database 201.Wherein, processor is inquired about by comparison of notion keyword or concept similarity comparison by query corresponding concept in the ontology database according to the object oriented of object.If concept of corresponding object is not present in the ontology database 201, then the notion of newly-increased corresponding this object and is specified related between this notion and other notion in ontology database among ontology database 201.
Afterwards, processor 210 is set up the Ontological concept associated diagram of corresponding this Graphic Documentation according to the relation of inclusion between concept of corresponding object and the object, and with Graphic Documentation 220, content corresponding knowledge, as the background information of Graphic Documentation etc., be stored among the knowledge shape library 202 with the Ontological concept associated diagram of respective graphical archives 220.
What note is, during object relation of inclusion corresponding in automatic pick-up Graphic Documentation 220 with it, system also can provide interface to give the user to carry out interactive set and proofreading and correct and the background information that lies in Graphic Documentation 220 is closed in input, the correctness so that more consolidation system is changed notion automatically.
Fig. 3 shows the operating process based on the knowledge graphical method of ontology according to the embodiment of the invention.
At first, as step S300, by the relation of inclusion between a plurality of objects of acquisition in the Graphic Documentation and corresponding object oriented and the object.Similarly, can learn its corresponding object oriented of object and coordinate and the area of each object in Graphic Documentation in the Graphic Documentation by scanning and analysis archives.By coordinate and the area of each object in Graphic Documentation, just can learn the relation of inclusion between these objects.
Then, as step S310, for each object according to its object oriented by utilizing notion keyword comparison or concept similarity comparison query corresponding concept among the ontology database.If the notion of corresponding this object is not present in (step S320 is) in the ontology database, then as step S330, the notion of newly-increased corresponding this object among ontology database, and in ontology database related between this notion of appointment and other notion.
Afterwards, as step S340, according to the notion of corresponding these objects and the Ontological concept associated diagram that the relation of inclusion between the object is set up corresponding this Graphic Documentation.At last, as step S350, with the content knowledge of this Graphic Documentation, respective graphical archives, be stored in the knowledge shape library with the Ontological concept associated diagram of respective graphical archives.
Next, lifting an example describes.Provide a Graphic Documentation 400, as shown in Figure 4.This Graphic Documentation 400 is the standard architecture brief introduction of Web Service (network service), is used for describing present already present standard intension and relevant standard content.
By the embodiment of the invention, at first can with the object in the Graphic Documentation 400 one by one destructing come out, and find out the object oriented of each object.Therefore, Graphic Documentation 400 can destructing go out 11 objects, be respectively Web Service standard, architecture, description, search, XML, SOAP, Process Flows, WSDL, XML Schema, Inspection, with 11 square objects such as UDDI.Simultaneously, coordinate by object and area can be learnt the relation of inclusion between object, and promptly Web Service standard comprises all other square objects; Architecture comprises XML and two square objects of SOAP; Description comprises Process Flows, WSDL and three square objects of XML Schema; Search comprises Inspection and two objects of UDDI.
Afterwards,, utilize the notion comparison method of body, by looking for similar notion in the ontology database, and the notion that searches out is passed back according to the object oriented that finds.With Graphic Documentation 400 is example, for each object find similar notion be respectively Web Service standard 510, Web Service architecture standard 511, Web Service description standard 512, Web Service search criteria 513, XML 514, SOAP 515, Process Flows 516, WSDL 517, XML Schema 518, Inspection 519, with similar concept such as UDDI 520.
Therefore, according to the association between the notion of object in the respective graphical archives 400 in original ontology database and the relation of inclusion of object, set up the Ontological concept associated diagram of respective graphical archives 400, as shown in Figure 5.Afterwards, with the Ontological concept associated diagram of Graphic Documentation 400, respective graphical archives 400, be stored in the knowledge shape library with the content knowledge (can import) of respective graphical archives 400 by the user.
Therefore, by the knowledge figure system and method based on ontology proposed by the invention, can upgrade the Ontological concept associated diagram that notion in the ontology database is related with it and set up the respective graphical archives automatically by the identification Graphic Documentation.
In addition, show a knowledge body with traditional figure among the present invention, be convenient to allow the user understand based on ontology.Each figure has just been represented the content in ontologies, is easier to allow the user understand difference between different content.For example, the Technical Architecture figure of Web Service and the major product analysis chart of Web Service are the knowledge bodies that belongs to two different contents, the user adds the background data of figure by seeing figure, can compare the difference and the complementary part of two knowledge bodies easily.
Though the present invention discloses as above with preferred embodiment; right its is not in order to limiting the present invention, anyly is familiar with this skill person, without departing from the spirit and scope of the present invention; when can doing a little change and retouching, so protection scope of the present invention is as the criterion when looking claims scope person of defining.
Claims (10)
1. knowledge graphics system based on ontology is characterized in that: comprising:
One data memory device comprises an ontology database, writes down related between plural notion and these notions; And
One processor, be coupled to this data memory device, cause by the relation of inclusion between the plural object of acquisition in the Graphic Documentation and corresponding object oriented and these objects, for each these object according to its object oriented by query corresponding concept in this ontology database, if notion that mutually should object does not exist, then newly-increased notion that mutually should object is in this ontology database, and in this ontology database, specify related between this notion and other notion, and according to the relation of inclusion foundation between the notion of corresponding these objects and these objects mutually should Graphic Documentation the Ontological concept associated diagram.
2. the knowledge graphics system based on ontology as claimed in claim 1, it is characterized in that: more comprise a knowledge shape library, in order to store this Graphic Documentation, mutually should Graphic Documentation a content knowledge, with this Ontological concept associated diagram that mutually should Graphic Documentation.
3. the knowledge graphics system based on ontology as claimed in claim 1 is characterized in that: this processor, is inquired about by the comparison of notion keyword by query corresponding concept in this ontology database according to the object oriented of this object.
4. the knowledge graphics system based on ontology as claimed in claim 1 is characterized in that: this processor, is inquired about by the concept similarity comparison by query corresponding concept in this ontology database according to the object oriented of this object.
5. the knowledge graphics system based on ontology as claimed in claim 1 is characterized in that: the relation of inclusion between these objects is for learning according to the coordinate and the area of each these object in this Graphic Documentation.
6. the knowledge graphical method based on ontology is characterized in that: comprise the following steps:
By the relation of inclusion between the plural object of acquisition in the Graphic Documentation and corresponding object oriented and these objects;
For each these object according to its object oriented by query corresponding concept in the ontology database;
If notion that mutually should object does not exist, then newly-increased notion that mutually should object and is specified related between this notion and other notion in this ontology database in this ontology database; And
According to the relation of inclusion foundation between the notion of corresponding these objects and these objects mutually should Graphic Documentation the Ontological concept associated diagram.
7. the knowledge graphical method based on ontology as claimed in claim 6 is characterized in that: more comprise with this Graphic Documentation, mutually should Graphic Documentation a content knowledge, be stored in the knowledge shape library with this Ontological concept associated diagram that mutually should Graphic Documentation.
8. the knowledge graphical method based on ontology as claimed in claim 6 is characterized in that:, inquire about by the comparison of notion keyword by query corresponding concept in this ontology database according to the object oriented of this object.
9. the knowledge graphical method based on ontology as claimed in claim 6 is characterized in that:, inquire about by the concept similarity comparison by query corresponding concept in this ontology database according to the object oriented of this object.
10. the knowledge graphical method based on ontology as claimed in claim 6 is characterized in that: the relation of inclusion between these objects is for learning according to the coordinate and the area of each these object in this Graphic Documentation.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1877566B (en) * | 2005-06-09 | 2010-06-16 | 国际商业机器公司 | System and method for generating new conception based on existing text |
| CN102339428A (en) * | 2011-10-28 | 2012-02-01 | 合肥工业大学 | Large equipment MRO (maintenance repair operating) knowledge construction method based on large equipment |
| CN103488724A (en) * | 2013-09-16 | 2014-01-01 | 复旦大学 | Book-oriented reading field knowledge map construction method |
| CN106227820A (en) * | 2016-07-22 | 2016-12-14 | 北京科技大学 | A kind of construction method of Basic Theories of Chinese Medicine knowledge picture library |
-
2002
- 2002-07-01 CN CNA021401616A patent/CN1466046A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1877566B (en) * | 2005-06-09 | 2010-06-16 | 国际商业机器公司 | System and method for generating new conception based on existing text |
| CN102339428A (en) * | 2011-10-28 | 2012-02-01 | 合肥工业大学 | Large equipment MRO (maintenance repair operating) knowledge construction method based on large equipment |
| CN103488724A (en) * | 2013-09-16 | 2014-01-01 | 复旦大学 | Book-oriented reading field knowledge map construction method |
| CN103488724B (en) * | 2013-09-16 | 2016-09-28 | 复旦大学 | A kind of reading domain knowledge map construction method towards books |
| CN106227820A (en) * | 2016-07-22 | 2016-12-14 | 北京科技大学 | A kind of construction method of Basic Theories of Chinese Medicine knowledge picture library |
| CN106227820B (en) * | 2016-07-22 | 2019-08-06 | 北京科技大学 | A kind of construction method of Basic Theories of Chinese Medicine knowledge picture library |
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