CN102508911A - Website knowledge structure analyzing system based on study type OWL (web ontology language) modeling - Google Patents
Website knowledge structure analyzing system based on study type OWL (web ontology language) modeling Download PDFInfo
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Abstract
The invention discloses a website knowledge structure analyzing system based on study type OWL (web ontology language) modeling, which is characterized by comprises the following function modules: an original document management system module, an OWL conversion module, an OWL model comparing module, a puzzling question manual processing module and a model updating module. Internet site navigation structures are acquired as many as possible by means of search engines, a seed model of an internet knowledge structure is built manually by means of a semi-automatic study type OWL modeling tool, and then 'studies' the acquired internet site navigation structures, so that the internet knowledge model can be more completed, and the purpose for acquiring the internet knowledge structure is achieved.
Description
Technical field
The present invention relates to a kind of website structure of knowledge analytic system, belong to network computer system.
Background technology
The learning type OWL modeling of a kind of semi-automation of applicant's application; It comprises that artificial treatment module, inverted index build library module and OWL model comparison module; Wherein: the artificial treatment module, set up the OWL knowledge model as kind of a submodel with manually-operated mode; Inverted index is built library module, and this volume elements of this OWL instances of ontology is extracted in Information Monitoring and convert thereof into the OWL instances of ontology from the internet, sets up the inverted index database of this volume elements.This volume elements is minimum undecomposable body.Inverted index comes from the practical application need search record according to the value of attribute.In this concordance list each all comprises a property value and has each recorded address of this property value.Owing to be not to confirm property value, but confirm the position of record by property value by record; OWL model comparison module compares this volume elements in kind of submodel and the inverted index database, and the attribute that will belong to this volume elements of same ken adds in kind of the submodel to improve kind of a submodel.Preferably, it also comprises OWL ontology model storehouse, is used to store the OWL instances of ontology after kind submodel that said artificial treatment module sets up and said inverted index are built the library module conversion.Preferably, said inverted index is built library module and is comprised with lower module: the original document management system, be responsible for gathering various information from the internet through search engine; OWL body modular converter is responsible for the information translation of original document management system collection is become the OWL instances of ontology, and is deposited OWL instances of ontology storehouse in; Refine OWL body element module, refine this volume elements of all OWL instances of ontology in the OWL instances of ontology storehouse; Instances of ontology inverted index module is set up the inverted index of this volume elements of refining the acquisition of OWL body element module, and is deposited said inverted index database in.Preferably, said artificial treatment module also comprises the dictionary maintenance module, be responsible for to set up and also to safeguard OWL body dictionary, and said OWL body modular converter becomes the OWL instances of ontology according to said OWL body dictionary with the information translation of original document management system collection.Preferably; Said artificial treatment module also comprises OWL compatibility rules manual maintenance module; Be responsible for setting up and safeguarding OWL compatibility rules storehouse, said OWL model comparison module compares this volume elements in said kind of submodel and the inverted index database according to the OWL compatibility rules in the said OWL compatibility rules storehouse.Preferably, said artificial treatment module also comprises knotty problem artificial treatment module, be responsible for to handle unusual in the said OWL model comparison module and said kind of submodel of artificial adjustment.
The learning type OWL modeling of above-mentioned robotization is very suitable for the information of certain structures law is carried out knowledge Modeling, such as: product information, user profile, company information etc.It is constantly perfect that but the internet knowledge model needs, and how can realize that improving automatically of internet knowledge model is the problem that further will solve.
Summary of the invention
Technical matters to be solved by this invention is how to make the internet knowledge model constantly perfect, reaches the purpose that obtains the internet structure of knowledge.
For solving the problems of the technologies described above, the present invention provides a kind of website structure of knowledge analytic system based on learning type OWL modeling, it is characterized in that, comprises following each functional module:
Original document management system module: the internet site structural information that storage, management come from the search engine collection;
OWL modular converter: the website structure document that the original document management system provides is done the OWL conversion, and deposit the instances of ontology database in;
Refine OWL body element module: from each instances of ontology of instances of ontology database, extract this volume elements, and give this volume elements to arrange module, said volume elements is minimum undecomposable body; A body is one group of notion and mutual relationship thereof, such as: corporate structure: general manager (GM) à chief inspector; Instances of ontology is the object lesson of a body, such as: XX group: XXX general manager (GM) à XXX chief inspector.
Instances of ontology inverted index module: accomplish inverted index, and deposit this volume elements inverted index database in to this volume elements;
OWL model comparison module: the internet structure of knowledge OWL seed knowledge model of building with manual work is the basis; Each this volume elements in this volume elements inverted index table is compared; Utilize the compatibility rules of manual maintenance to judge that which this volume elements belongs to the same knowledge category of seed knowledge model; Judge a new channel or position and the meaning of column in the internet structure of knowledge, in the time of can't judging, dish out unusually to the artificial treatment module; The seed knowledge model for the most original, often also be minimum knowledge model;
Knotty problem artificial treatment module: accept unusual that OWL model comparison module dishes out, artificial adjustment website knowledge model;
Model modification module: according to the legitimate result of accepting OWL model comparison module and the result of manual intervention, to seed
KnowledgeModel is made amendment, is upgraded and deposits internet structure of knowledge OWL model bank in;
Further, also comprise the compatibility rules module: be responsible for man-machine interaction, accomplish the maintenance to compatibility rules, the result deposits the compatibility rules storehouse in;
Further, the manual maintenance module that also comprises OWL Ontology Modeling, dictionary: be used to safeguard the OWL seed
KnowledgeModel and OWL dictionary storehouse, OWL knowledge model and OWL dictionary also will be used in the OWL transfer process.
The beneficial effect that the present invention reached: the navigation system that each internet site all is made up of column, channel, special topic, hyperlink a cover.It had both represented the knowledge classification of this website, had also represented website operator to hope how the netizen browses the introduction thinking of its website.Utilize search engine to obtain internet site navigational structure as much as possible; Simultaneously, utilize semi-automatic learning type OWL modeling tool, the kind submodel of an internet structure of knowledge is set up in first manual work; Then; All guidance to website structures to obtaining are carried out " study ", make the internet knowledge model constantly perfect, reach the purpose that obtains the internet structure of knowledge.
Description of drawings
Fig. 1 is the website structure of knowledge analytic system structural representation based on learning type OWL modeling of the present invention.
Embodiment
Website of the present invention structure of knowledge analytic system comprises:
The internet site structural information of 1) coming from the search engine collection gets into the original document management system;
2) OWL modular converter website structure document that the original document management system is provided is done OWL conversion (referring to patent " based on internet text this analysis and the OWL converter of OWL "), and deposits the instances of ontology database in;
3) refine OWL body element module and from each instances of ontology of instances of ontology storehouse, extract this volume elements (that is: the undecomposable body of minimum), and give this volume elements to arrange module;
4) instances of ontology inverted index module is accomplished the inverted index (referring to patent " a kind of inverted index method based on OWL ") to this volume elements, and deposits this volume elements inverted index storehouse in;
5) OWL model comparison module; The internet structure of knowledge OWL seed knowledge model of building with manual work is the basis; Each this volume elements in this volume elements inverted index table is compared, and utilizes the compatibility rules of manual maintenance to judge that which this volume elements belongs to the same knowledge category of seed knowledge model, judges a new channel or position and the meaning of column in the internet structure of knowledge; In the time of can't judging, dish out unusually to the artificial treatment module;
6) knotty problem artificial treatment module is accepted unusual that OWL model comparison module dishes out, artificial adjustment website knowledge model;
7) result of the legitimate result of model comparison and manual intervention delivers to the model modification module kind of a submodel is made amendment, upgraded, and deposits the OWL model bank in;
8) compatibility rules module owner machine is mutual, accomplishes the maintenance to compatibility rules, and the result deposits the compatibility rules storehouse in;
9) OWL kind submodel and OWL dictionary storehouse all are to safeguard that through " manual maintenance of OWL Ontology Modeling, dictionary " module OWL knowledge model and OWL dictionary also will be used in the OWL transfer process.
The workflow of system of the present invention is following:
1. the knowledge manager sets up an internet structure of knowledge kind submodel through artificial modeling tool;
2. obtain the navigational structure information of internet site through search engine, and deposit the original document management system in;
3. the conversion of OWL instances of ontology, this volume elements inverted index are done to raw information by system, and deposit this volume elements inverted index table in;
4. system utilizes the seed knowledge model of manual creation and (existing in the inverted index table) each this volume elements that system tentatively refines to carry out the model contrast, under the help of compatibility rules, discerns similar knowledge;
5. directly export to OWL model modification module to this volume elements that meets " knowledge rationally " standard, submit the knowledge that " query " arranged to artificial processing module, abandon irrelevant knowledge;
6. the knowledge manager does suitable adjustment according to the enquirement of system to internet structure of knowledge model, and exports to OWL model modification module;
7.OWL the model modification module is responsible for revising, upgrading internet structure of knowledge model;
8. to different internet sites, constantly repeating step 1 to 7 makes based on the internet structure of knowledge model of OWL more and more perfect;
9. when needing, artificial adjustment compatibility rules, OWL dictionary storehouse even OWL internet structure of knowledge model itself.
Below disclose the present invention with preferred embodiment, so it is not in order to restriction the present invention, and all employings are equal to replacement or the technical scheme that obtained of equivalent transformation mode, all drop within protection scope of the present invention.
Claims (3)
1. the website structure of knowledge analytic system based on learning type OWL modeling is characterized in that, comprises following each functional module:
Original document management system module: the internet site structural information that storage, management come from the search engine collection;
OWL modular converter: the website structure document that the original document management system provides is done the OWL conversion, and deposit the instances of ontology database in;
Refine OWL body element module: from each instances of ontology of instances of ontology database, extract this volume elements, and give this volume elements to arrange module, said volume elements is minimum undecomposable body;
Instances of ontology inverted index module: accomplish inverted index, and deposit this volume elements inverted index database in to this volume elements;
OWL model comparison module: the internet structure of knowledge OWL seed knowledge model of building with manual work is the basis; Each this volume elements in this volume elements inverted index table is compared; Utilize the compatibility rules of manual maintenance to judge that which this volume elements belongs to the same knowledge category of seed knowledge model; Judge a new channel or position and the meaning of column in the internet structure of knowledge, in the time of can't judging, dish out unusually to the artificial treatment module;
Knotty problem artificial treatment module: accept unusual that OWL model comparison module dishes out, artificial adjustment website knowledge model;
Model modification module:, the seed knowledge model is made amendment, upgraded and deposits internet structure of knowledge OWL model bank in according to the legitimate result of accepting OWL model comparison module and the result of manual intervention.
2. the website structure of knowledge analytic system based on learning type OWL modeling according to claim 1 is characterized in that: also comprise the compatibility rules module: be responsible for man-machine interaction, accomplish the maintenance to compatibility rules, the result deposits the compatibility rules storehouse in.
3. the website structure of knowledge analytic system based on learning type OWL modeling according to claim 1; It is characterized in that: the manual maintenance module that also comprises OWL Ontology Modeling, dictionary: be used to safeguard OWL seed knowledge model and OWL dictionary storehouse, OWL knowledge model and OWL dictionary also will be used in the OWL transfer process.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006020343A1 (en) * | 2004-08-11 | 2006-02-23 | Oracle International Corporation | System for ontology-based semantic matching in a relational database system |
| CN101393565A (en) * | 2008-11-07 | 2009-03-25 | 北京航空航天大学 | Facing virtual museum searching method based on noumenon |
| CN101582073A (en) * | 2008-12-31 | 2009-11-18 | 北京中机科海科技发展有限公司 | Intelligent retrieval system and method based on domain ontology |
| CN102073666A (en) * | 2009-11-24 | 2011-05-25 | 武汉大学 | Spatial information processing service composition method with dynamics |
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- 2011-11-14 CN CN201110358829.5A patent/CN102508911B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006020343A1 (en) * | 2004-08-11 | 2006-02-23 | Oracle International Corporation | System for ontology-based semantic matching in a relational database system |
| CN101393565A (en) * | 2008-11-07 | 2009-03-25 | 北京航空航天大学 | Facing virtual museum searching method based on noumenon |
| CN101582073A (en) * | 2008-12-31 | 2009-11-18 | 北京中机科海科技发展有限公司 | Intelligent retrieval system and method based on domain ontology |
| CN102073666A (en) * | 2009-11-24 | 2011-05-25 | 武汉大学 | Spatial information processing service composition method with dynamics |
Non-Patent Citations (1)
| Title |
|---|
| 曹江涛等: "基于本体的电信Web服务匹配", 《计算机工程》 * |
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