CN102521239B - Question-answering information matching system and method based on OWL (web ontology language) for Internet - Google Patents
Question-answering information matching system and method based on OWL (web ontology language) for Internet Download PDFInfo
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Abstract
The invention discloses a question-answering information matching system and a question-answering information matching method based on an OWL (web ontology language) for Internet. The question-answering information matching method comprises the following steps of: carrying out pretreatment after a user inputs a question or an answer; converting an inquiry statement into an OWL ontological example by an OWL ontological example converting module; carrying out ontological element treatment on core and extensional inquiry condition ontological examples by an OWL inquiry condition pre-treating module; matching each ontological element in an inquiry condition set with all items in an ontological element inverted list by an OWL ontological searching and matching module; extracting and outputting a corresponding primary document set as a result by a primary document managing system; sequencing a plurality of results by a matching result sequencing module; outputting a sequencing result to a user interface to display the result; and repeating the steps until all questions or answers are traversed. By using the question-answering information matching system and the question-answering information matching method, the automatic matching of the massive question-answering information of the Internet is achieved by adopting a searching method based on the OWL, and the accuracy for matching the information is improved greatly.
Description
Technical field
The present invention relates to a kind of internet question and answer information matches system based on OWL, belong to field of computer technology.
Background technology
A variety of paired interactive informations are arranged on the internet, such as: question and answer information, employment information, etc.The coupling of most of so paired information is artificial treatment, that is: the pairing that realizes nature of question and answer district or the follow-up post district by software setting itself.If in the internet information of magnanimity automatic matching, then often or by keyword coupling, the coupling poor accuracy.
OWL(Web Ontology Language) is a kind of network ontology language of W3C exploitation, is used for body is carried out semantic description.OWL is designed to process the content of information rather than only to the application of human presentation information.Create the internet if press OWL, internet itself just becomes the to a certain extent structure of knowledge of " understanding " of a computing machine.Software engineers can be a series of inference rules of Computer Design and engine on this basis, allow computing machine oneself " understanding " internet information content at the OWL semantic network, and make correct judgement and operation.
Summary of the invention
Technical matters to be solved by this invention provides a kind of internet question and answer information matches system based on OWL, adopts the automatic matching of realizing internet mass question and answer information based on the search method of OWL, and the information matches accuracy is high.
For solving the problems of the technologies described above, the invention provides a kind of internet question and answer information matches system based on OWL, it is characterized in that, comprise
Preserve the original document database of the interactive problem of internet mass or answer,
OWL instances of ontology modular converter is converted to the OWL instances of ontology with problem or answer and deposits OWL instances of ontology database in,
The inverted index database, with this volume elements inverted index,
OWL rule searching storehouse is proofreaded inverted index by the OWL knowledge model, and the generation rule searching deposits OWL rule searching storehouse in.
Also comprise
OWL body dictionary is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
OWL ontology model storehouse is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
OWL instances of ontology modular converter is responsible for the conversion from the text formatting querying condition to the OWL instances of ontology;
OWL querying condition pretreatment module is responsible for the extension reasoning of OWL querying condition, obtains more heterogeneous pass querying condition, simultaneously all querying conditions carry out this volume elementsization, extracts this volume elements from all querying conditions;
OWL Ontology Searching matching module is responsible for finishing search and coupling in this volume elements of querying condition and this volume elements of the OWL inverted index table;
Question and answer condition to be matched and analysis module thereof are responsible for man-machine interaction, comprise the input of querying condition and pairing result's demonstration; Be responsible for simultaneously the querying condition of quasi-natural language is done preliminary analysis, in order to do the conversion of OWL body.
A kind of question and answer information matching method of the internet question and answer information matches system based on OWL is characterized in that, comprises following steps:
1) user is by problem or the answer of user interface input quasi-natural language;
2) question and answer condition to be matched and analysis module thereof carry out pre-service to user's problem or answer;
3) OWL instances of ontology modular converter is converted to the OWL instances of ontology with query statement under the help of OWL dictionary and OWL knowledge model;
4) OWL querying condition pretreatment module utilizes the OWL inference engine that querying condition is done the knowledge extending expansion, obtains extra relevant inquiring instances of ontology;
5) OWL querying condition pretreatment module is carried out this volume elementsization processing with querying condition instances of ontology core and extension, extracts this all volume elements, as final querying condition collection;
6) all in OWL Ontology Searching matching module each this volume elements that querying condition is concentrated and this volume elements Inverted List are mated, and will obtain all Query Results and export to original document management system and original document sort result system;
7) the original document management system is mapped to corresponding file in the original document database according to the corresponding relation of Query Result and OWL instances of ontology database, extracts corresponding original document collection as output;
8) when the corresponding problem of a plurality of results or answer are arranged, match sort result module basis based on the rule searching of knowledge and the knowledge goodness of fit of knowledge comparison algorithm judged result and condition, and according to this goodness of fit result is sorted;
9) ranking results outputs to user interface and does result's demonstration;
Select another one problem or answer, repeating step 1) to 9), move in circles, until travel through all problems or answer.
Quasi-natural language described in the step 1) is for adopting the form of natural language, and employed grammer and vocabulary are in a scope limited or that provide in advance.
Step 2) pre-service described in comprises identification, validation checking, part-of-speech tagging at least.
In the step 6)
The step that OWL Ontology Searching matching module mates is:
A) utilize ergodic algorithm to locate fast the position of this volume elements in tabulation;
B) utilize the knowledge comparison algorithm judge in the querying condition this volume elements whether with Inverted List in this volume elements same or similar;
Reciprocation cycle, until travel through each this volume elements querying condition, and obtain all Query Results, export to original document management system and original document sort result system.
The beneficial effect that the present invention reaches:
Internet question and answer information matches system and information matching method thereof based on OWL of the present invention, employing realizes the automatic matching of internet mass question and answer information based on the search method of OWL, both can go in the answer of magnanimity, to seek suitable answer by a problem, also can the problem of magnanimity, seek corresponding with it problem from an answer, greatly improve the accuracy of information matches.
Description of drawings
Fig. 1 is based on the interacting Question-Answer information matches system schematic of OWL.
Embodiment
The invention will be further described below in conjunction with accompanying drawing.Following examples only are used for technical scheme of the present invention more clearly is described, and can not limit protection scope of the present invention with this.
Utilization both can go to seek suitable answer by a problem based on the pairing of the internet content of OWL retrieval in the answer of magnanimity, also can seek corresponding with it problem the problem of magnanimity from an answer.To be looked for answer as example by problem, interactive matching system as shown in Figure 1.
Wherein, suppose the answer that has obtained magnanimity, this answer exists in the original document database, and by OWL instances of ontology conversion it is converted to the OWL instances of ontology and deposits the instances of ontology database in, the instances of ontology database has been carried out this volume elements inverted index, and by the OWL knowledge model inverted index is proofreaded, produced rule searching, deposit OWL rule searching storehouse in.Except above-mentioned basic module, this system also comprises:
1, OWL body dictionary is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
2, OWL ontology model storehouse is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
3, OWL instances of ontology modular converter is responsible for the conversion from the text formatting querying condition to the OWL instances of ontology;
4, OWL querying condition pretreatment module is responsible for the extension reasoning of OWL querying condition, obtains more heterogeneous pass querying condition, simultaneously all querying conditions carry out this volume elementsization, extracts this volume elements from all querying conditions that is:;
5, OWL Ontology Searching matching module, that is: nucleus module of the present invention is responsible for finishing search and coupling in this volume elements of querying condition (collection) and this volume elements of the OWL inverted index table.Its gordian technique is:
A) how efficiently, rapidly the ergodic algorithm of this volume elements inverted index table that is: searches the method for each node of inverted index table;
B) how knowledge comparison algorithm that is: judges two same or analogous methods of the described knowledge of this volume elements, is not simple string matching, and the OWL Ontology Query rule based on knowledge model plays an important role here;
6, question and answer condition to be matched and analysis module thereof are responsible for man-machine interaction, comprise the input of querying condition and pairing result's demonstration.Be responsible for simultaneously the querying condition of quasi-natural language is done preliminary analysis, in order to do the conversion of OWL body.
Main flow based on said system is as follows:
1, the user is by the problem of user interface input quasi-natural language.Quasi-natural language that is: adopt the form of natural language, but employed grammer and vocabulary is all in a scope limited or that provide in advance;
2, question and answer condition to be matched and analysis module thereof to user's problem identify, the pre-service such as validation checking, part-of-speech tagging;
3, OWL body modular converter is converted to the OWL instances of ontology with query statement under the help of OWL dictionary and OWL knowledge model;
4, OWL querying condition pretreatment module utilizes the OWL inference engine that querying condition is done the knowledge extending expansion, obtains extra relevant inquiring instances of ontology;
5, OWL querying condition pretreatment module is carried out this volume elementsization processing with querying condition instances of ontology core and extension, extracts this all volume elements that is:, as final querying condition collection;
6, all in OWL Ontology Searching matching module each this volume elements that querying condition is concentrated and this volume elements Inverted List are mated:
A) utilize ergodic algorithm to locate fast the position of this volume elements in tabulation;
B) utilize the knowledge comparison algorithm judge in the querying condition this volume elements whether with Inverted List in this volume elements same or similar;
Reciprocation cycle, until travel through each this volume elements querying condition, and obtain all Query Results, export to original document management system and original document sort result system;
7, the original document management system is mapped to corresponding file in the original document database according to the corresponding relation of Query Result and OWL instances of ontology database, extracts corresponding original document collection as output;
8, when the corresponding problem of a plurality of results is arranged, match sort result module meeting basis based on the rule searching of knowledge and the knowledge goodness of fit of knowledge comparison algorithm judged result and condition, and according to this goodness of fit result is sorted;
9, ranking results outputs to user interface and does result's demonstration.
Select the another one problem, repeating step 1 to 9 moves in circles, until travel through all problems.
The above only is preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the technology of the present invention principle; can also make some improvement and distortion, these improvement and distortion also should be considered as protection scope of the present invention.
Claims (5)
1. the internet question and answer information matches system based on OWL is characterized in that, comprises with lower module:
Preserve the original document database of the interactive problem of internet mass or answer,
OWL instances of ontology modular converter is converted to the OWL instances of ontology with problem or answer and deposits OWL instances of ontology database in,
The inverted index database, with this volume elements inverted index,
OWL rule searching storehouse is proofreaded inverted index by the OWL knowledge model, and the generation rule searching deposits OWL rule searching storehouse in;
Also comprise following modules:
OWL body dictionary is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
OWL ontology model storehouse is used for the conversion from the text formatting querying condition to the OWL instances of ontology;
OWL querying condition pretreatment module is responsible for the extension reasoning of OWL querying condition, obtains more heterogeneous pass querying condition, simultaneously all querying conditions carry out this volume elementsization, extracts this volume elements from all querying conditions;
OWL Ontology Searching matching module is responsible for finishing search and the coupling of this volume elements in this volume elements of querying condition and this volume elements of the OWL inverted index table;
Question and answer condition to be matched and analysis module thereof are responsible for man-machine interaction, comprise the input of querying condition and pairing result's demonstration; Be responsible for simultaneously the querying condition of quasi-natural language is done preliminary analysis, in order to do the conversion of OWL body.
2. the question and answer information matching method based on the internet question and answer information matches system of OWL is characterized in that, comprises following steps:
1) user is by problem or the answer of user interface input quasi-natural language;
2) question and answer condition to be matched and analysis module thereof carry out pre-service to user's problem or answer;
3) OWL instances of ontology modular converter is converted to the OWL instances of ontology with query statement under the help of OWL dictionary and OWL knowledge model;
4) OWL querying condition pretreatment module utilizes the OWL inference engine that querying condition is done the knowledge extending expansion, obtains extra relevant inquiring instances of ontology;
5) OWL querying condition pretreatment module is carried out this volume elementsization processing with querying condition instances of ontology core and extension, extracts this all volume elements, as final querying condition collection;
6) all in OWL Ontology Searching matching module each this volume elements that querying condition is concentrated and this volume elements Inverted List are mated, and all Query Results that will obtain are exported to original document management system and original document sort result system;
7) the original document management system is mapped to corresponding file in the original document database according to the corresponding relation of Query Result and OWL instances of ontology database, extracts corresponding original document collection as output;
8) when the corresponding problem of a plurality of results or answer are arranged, match sort result module basis based on the rule searching of knowledge and the knowledge goodness of fit of knowledge comparison algorithm judged result and condition, and according to this goodness of fit result is sorted;
9) ranking results outputs to user interface and does result's demonstration;
Select another one problem or answer, repeating step 1) to 9), move in circles, until travel through all problems or answer.
3. the question and answer information matching method of the internet question and answer information matches system based on OWL according to claim 2, it is characterized in that, quasi-natural language described in the step 1) is for adopting the form of natural language, and employed grammer and vocabulary are in a scope limited or that provide in advance.
4. the question and answer information matching method of the internet question and answer information matches system based on OWL according to claim 2 is characterized in that step 2) described in pre-service comprise at least identification, validation checking, part-of-speech tagging.
5. the question and answer information matching method of the internet question and answer information matches system based on OWL according to claim 2 is characterized in that, in the step 6)
The step that OWL Ontology Searching matching module mates is:
A) utilize ergodic algorithm to locate fast the position of this volume elements in tabulation;
B) utilize the knowledge comparison algorithm judge in the querying condition this volume elements whether with Inverted List in this volume elements same or similar;
Reciprocation cycle, until travel through each this volume elements querying condition, and obtain all Query Results, export to original document management system and original document sort result system.
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