NATURAL LANGUAGE BASED LOCATION QUERY SYSTEM, KEYWORD BASED LOCATION QUERY SYSTEM AND A NATURAL LANGUAGE AND KEYWORD BASED LOCATION QUERY SYSTEM

• US 20080010259A1
• Filed: 07/09/2007
• Published: 01/10/2008
• Est. Priority Date: 07/10/2006
• Status: Active Grant

• Current Assignee: NEC China Co Ltd (NEC Corporation)
• Original Assignee: NEC China Co Ltd (NEC Corporation)
• Inventors: WANG, Yabo, LIU, Huifeng, LIU, Xiaowei, FENG, Qiangze, FUKUSHIMA, Toshikazu, LIU, Yuguang, QI, Hongwei
• Granted Patent: US 7,937,402 B2
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

A natural language based location query system and a method thereof. The system comprises a receiving device which receives a request for natural language query from a user terminal; an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query; a natural language query processing device which performs at least one of a fuzzy processing and an indirection processing on the received request for natural language query by searching the location ontology base and the location query language base with the access device, retrieves location information corresponding to the request from a location database; and a sending device which sends the location information to the user terminal. This invention also provides a keyword based location query system and a method thereof, and a natural language based and keyword based location query system and a method thereof. This invention not only process user fuzzy query and indirect query, but also process compound sentence query and query having semantic error. Therefore, the degree of freedom of user query is enhanced and the location query is more flexible and accurate.

Claims

1. A natural language based location query system, comprises:

a receiving device which receives a request for natural language query from a user terminal;

an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query;

a natural language query processing device which performs at least one of a fuzzy processing and an indirection processing on the received request for natural language query by searching the location ontology base and the location query language base with the access device, and retrieves location information corresponding to the request from a location database; and

a sending device which sends the location information to the user terminal.

2. The system of claim 1, wherein the natural language query processing device comprises:

a parsing unit which parses the request for natural language query by searching a category table and an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing unit which adds words to the description in the parsed request or deletes words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

a query language matching unit which matches the processed request with the location query language base, and generates the query action corresponding to the query;

a database searching unit which retrieves the corresponding query result from the location database according to the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

3. The system of claim 1, wherein the natural language query processing device comprises:

a parsing unit which parses the request for natural language query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

an indirection processing unit which converts the indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching unit which matches the processed request with the location query language base, and generates the query action corresponding to the query;

a database searching unit which retrieves the corresponding query result from the location database according to the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

4. The system of claim 1, wherein the natural language query processing device comprises:

a parsing unit which parses the request for natural language query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing unit which adds words to the fuzzy description in the parsed request or deletes words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the film description comprises at least one of a redundancy description and an incomplete description;

an indirection processing unit which converts the indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching unit which matches the processed request with the location query language base, and generates the query action corresponding to the query;

a database searching it which retrieves the corresponding query result from the location database according to the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

5. The system of one of claims 2 to 4, wherein the natural language query processing device further comprises:

a compound sentence processing unit which divides the request for natural language query which comprises a compound sentence into a plurality of separate request for natural language query and provides the divided request to the parsing unit.

6. The system of one of claims 2 to 4, wherein said query language matching unit transforms the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

7. The system of one of claims 2 or 5, wherein the natural language query processing device further comprises:

an error diagnosing unit which identifies and analyzes the semantic error in the request for the natural language query according to predetermined rules after the matching by the query language matching unit is failed, and sends the information about the identified error to the user terminal through the answer fusing and generating unit.

8. A natural language based location query method, comprises:

a receiving step of receiving a request for natural language query sent from a user terminal by a user;

a natural language query processing step of performing at least one of a

fuzzy processing and an indirection processing on the received request for natural language query by searching a location ontology base and a location query language base, and retrieves location information corresponding to the request from a location database; and

a transmitting step of transmitting the location information to the user terminal.

9. The method of claim 8, wherein the natural language query processing step comprises:

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and a constant table of a syntax part in the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the description by searching the location ontology base, the location query language base and a user query history, wherein the f description comprises at least one of a redundancy description and an incomplete description;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the query result from the location database according to the query action corresponding the query; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

10. The method of claim 8, wherein the natural language query processing step comprises:

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and the constant table in the location query language base;

an indirection processing step of converting an indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the corresponding query result from the location database according to the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

11. The method of claim 8, wherein the natural language query processing step comprises:

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the corresponding query result from the location database according to the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

12. The method of one of claims 9 to 11, wherein the natural language query processing step further comprises:

a compound sentence processing step of dividing the request for natural language query which comprises a compound sentence into a plurality of separate request for natural language query and provides the divided request to the parsing unit.

13. The method of one of claims 9 to 11, wherein said query language matching step further comprises transforming the description that don'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

14. The method of claim 12, wherein the natural language query processing step further comprises:

an error diagnosing step of identifying and analyzing the semantic error in the request for the natural language query according to predetermined rules after the query language matching is failed, and sending the information about the identified error to the user terminal.

15. The method of claim 8, wherein the method farther comprises a location ontology base generating step, comprising:

a domain ontology creation step of extracting an entity table and a category table, attributes and relations from an electronic map and Web pages, and combing them with predetermined axiom part so as to generate a domain ontology for each domain;

a mapping ontology creation step of extracting at least one of synonymy mapping relations, language mapping relations and geospatial mapping relations based on a synonymous dictionary, an abbreviation rule base, a multi-lingual dictionary and an electronic map, and combing them so as to generate a mapping ontology.

16. A method of one of claims 8, wherein the method further comprises a location query language base generating step, comprising:

a domain query language creation step of collecting the possible question sentences for each domain, extracting syntax and a constant table from them, and combing the extracted syntax and the query action corresponding to the syntax so as to generate a domain query language for each domain;

a common query language creation step of calculating the similarity among all domain query languages, and extracting a common query language.

17. A keyword based location query system, comprises:

a receiving device which receives a request for keyword query from a user terminal;

an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query;

a keyword query processing device which performs at least one of a processing and an indirection processing on the received request for keyword query by searching the location ontology base and the location query language base with the access device, and retrieves location information corresponding to the request from a location database; and

a sending device which sends the location information to the user terminal.

18. The system of claim 17, wherein the keyword query processing device comprises:

a parsing unit which parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base, comprises query manners used by a user;

a fuzzy processing unit which adds words to the description in the parsed request or deletes words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the filmy description comprises at least one of a redundancy description and an incomplete description;

a partial syntax matching unit which partially matches the processed request with the location query language base, and obtains a collection of the matched syntax;

an answer deciding unit which selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generates a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

19. The system of claim 17, wherein the keyword query processing device comprises:

a parsing unit which parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

an indirection processing unit which converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching unit which partially matches the processed request with the location query language base, and obtains a collection of the matched syntax;

an answer deciding unit which selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generates a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

20. The system of claim 17, wherein the keyword query processing device comprises:

a parsing unit which parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing unit which adds words to the fuzzy description in the parsed request or deletes words from the fit description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

an indirection processing unit which converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching unit which partially matches the processed request with the location query language base, and obtains a collection of the matched syntax;

an answer deciding unit which selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

21. The system of one of claims 18 to 20, wherein the keyword query processing device further comprises:

an error diagnosing unit which identifies and analyzes the semantic error in the request of the keyword query according to predetermined rules after the partial syntax matching is failed, and sends the information about the identified error to the user terminal.

22. The system of one of claims 18 to 20, wherein said answer deciding unit transforms the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

23. A keyword based location query method, comprises:

a receiving step of receiving a request for keyword query from a user terminal;

a keyword query processing step of performing at least one of a fuzzy processing and an indirection processing on a request for keyword query sent from a user terminal by searching the location ontology base and the location query language base; and

retrieving location information corresponding to the request from a location database; and

a transmitting step of sending the location information to the user terminal.

24. The method of claim 23, wherein the keyword query processing step comprises:

a parsing step of parsing the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing step of adding words to the description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the description comprises at least one of a redundancy description and an incomplete description;

a partial syntax matching step of partially matching the processed request with the location query language base, and obtaining a collection of the matched syntax;

an answer deciding step of selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieving the corresponding query result from the location database based on the query action; and

an answer using and generating step of fusing the query result to generate an answer, and sending the answer to the user terminal.

25. The method of claim 23, wherein the keyword query processing step comprises:

a parsing step of parsing the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching step of partially matching the processed request with the location query language base, and obtaining a collection of the matched syntax;

an answer deciding step of selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieving the corresponding query result from the location database based on the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sending the answer to the user terminal.

26. The method of claim 23, wherein the keyword query processing step comprises:

a parsing step of parsing the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching step of partially matching the processed request with the location query language base, and obtaining a collection of the matched syntax;

an answer deciding step of selecting from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieving the query result from the location database based on the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sending the answer to the user terminal.

27. The method of one of claims 24 to 26, wherein the keyword query processing step further comprises:

an error diagnosing step of identifying and analyzing the semantic error in the request of the keyword query according to predetermined rules after the partial syntax matching is failed, and sends the information about the identified error to the user terminal.

28. The method of one of claims 24 to 26, wherein said answer deciding step transforms the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

29. The method of one of claims 23, wherein the method further comprises a location ontology base generating step, comprising:

a domain ontology creation step of extracting an entity table and a category table, attributes and relations from an electronic map and Web pages, and combing them with predetermined axiom part so as to generate a domain ontology for each domain;

a mapping ontology creation step of extracting at least one of synonymy mapping relations, language mapping relations and geospatial mapping relations based on a synonymous dictionary, an abbreviation rule base, a multi-lingual dictionary and an electronic map, and combing them so as to generate a mapping ontology.

30. A method of claims 23, wherein the method further comprises a location query language base generating step, comprising:

a domain query language creation step of collecting the possible question sentences for each domain, extracting syntax and a constant table from them, and combing the extracted syntax and the query action corresponding to the syntax so as to generate a domain query language for each domain;

a common query language creation step of calculating the similarity among all domain query languages, and extracting a common query language.

31. A natural language based and keyword based location query system, comprises:

an access device which accesses a location ontology base and a location query language base that are external to the system or internal in the system, wherein the location ontology base comprising knowledge descriptions about the field of a location service, and the location query language base comprising a language model for the location service query;

a natural language query and keyword query processing device which performs at least one of a fuzzy processing and an indirection processing on the natural language and/or keyword query request sent from a user terminal by searching the location ontology base and the location query language base with the access device; and

retrieves location information corresponding to the request from a location database; and

a sending device which sends the location information to the user terminal.

32. A system of claim 31, wherein the natural language query and keyword query processing device comprises:

a parsing unit which parses the request for the query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing unit which adds words to the description in the parsed request or deletes words from the description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

a determining unit which determining whether the request received from a user terminal is a request for natural language query or a request for keyword query;

a query language matching unit which matches the processed request with the location query language base when the request is a natural language query, and generates the query action corresponding to the query;

a partial syntax matching unit which partially matches the processed request with the location query language base when the request is a keyword query, and obtains a collection of the matched syntax;

an answer deciding unit which selects from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules when the request is a keyword query, and generates a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database according to the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

33. A system of claim 31, wherein the natural language query and keyword query processing device comprises:

a parsing unit which parses the request for the query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

an indirection processing unit which converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a determining unit which determining whether the request received from a user terminal is a request for natural language query or a request for keyword query;

a query language matching unit which matches the processed request with the location query language base when the request is a natural language query, and generates the query action corresponding to the query;

a partial syntax matching unit which partially matches the processed request with the location query language base when the request is a keyword query, and obtains a collection of the matched syntax;

an answer deciding unit which selects from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules when the request is a keyword query, and generates a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database according to the query action; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

34. A system of claim 31, wherein the natural language query and keyword query processing device comprises:

a parsing unit which parses the request for the query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

a fuzzy processing unit which adds words to the fuzzy description in the parsed request or deletes words from the film description by searching the location ontology base, the location query language base and a user query history, wherein the fit description comprises at least one of a redundancy description and an incomplete description;

an indirection processing unit which converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a determining unit which determining whether the request received from a user terminal is a request for natural language query or a request for keyword query;

a query language matching unit which matches the processed request with the location query language base when the request is a natural language query, and generates the query action corresponding to the query;

a partial syntax matching unit which partially matches the processed request with the location query language base when the request is a keyword query, and obtains a collection of the matched syntax;

an answer deciding unit which selects from the collection of the matched syntax the optimum matched syntax according to predetermined determination rules when the request is a keyword query, and generates a query action corresponding to the request;

a database searching unit which retrieves the corresponding query result from the location database according to the query action corresponding the query; and

an answer fusing and generating unit which fuses the query result to generate an answer, and sends the answer to the user terminal.

35. The system of one of claims 32 to 34, wherein said query language matching unit transforms the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base, and said answer deciding unit transforms the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

36. A natural language based and keyword based location query method, comprises:

a determining step of determining whether a request received from a user terminal is a request for natural language query or a request for keyword query;

if the request is a request for natural language query, then the method comprising

a natural language query processing step of performing at least one of a fuzzy processing and an indirection processing on the request for natural language query sent from the user terminal by searching the location ontology base and the location query language base; and

retrieving location information corresponding to the request from a location database; and

a first transmitting step of sending the location information to the user terminal;

if the request is a request for keyword query, then the method comprising

a keyword query processing step of performing at least one of a fit processing and an indirection processing on a request for keyword query sent from a user terminal by searching the location ontology base and the location query language base;

retrieving location information corresponding to the request form a location database; and

a second transmitting step of sending the location information to the user terminal.

37. The method of claim 36, wherein the a natural language query processing step comprises

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and the constant table of the syntax part in the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the corresponding query result from a location database according to the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

38. The method of claim 36, wherein the natural language query processing step comprises

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and the constant table of the syntax part in the location query language base;

an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the corresponding query result from the location database according to the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

39. The method of claim 36, wherein the natural language query processing step comprises

a parsing step of parsing the request for natural language query by searching a category table, an entity table in the location ontology base and the constant table of the syntax part in the location query language base;

a fuzzy processing step of adding words to the fizz description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

an indirection processing step of converting indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a query language matching step of matching the processed request with the location query language base, and generating the query action corresponding to the query;

a database searching step of retrieving the query result from a location database according to the query action corresponding the query; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

40. The method of claim 36, wherein the keyword query processing step comprises:

a parsing step of parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in a syntax part of the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

a partial syntax matching step of partially matches the processed request with the location query language base, and obtains a collection of the syntax matching;

an answer deciding step of selecting form the collection of the syntax matching the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

41. The method of claim 36, wherein the keyword query processing step comprises:

a parsing step of parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in the location query language base;

an indirection processing step of converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching step of partially matches the processed request with the location query language base, and obtains a collection of the syntax matching;

an answer deciding step of selecting form the collection of the syntax matching the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

42. The method of claim 36, wherein the keyword query processing step comprises:

a parsing step of parses the request for keyword query by searching a category table, an entity table in the location ontology base and a constant table in a syntax part of the location query language base;

a fuzzy processing step of adding words to the fuzzy description in the parsed request or deleting words from the fuzzy description by searching the location ontology base, the location query language base and a user query history, wherein the fuzzy description comprises at least one of a redundancy description and an incomplete description;

an indirection processing step of converts indirect description in the query into the corresponding category name in the location ontology base by searching the category table in the location ontology base;

a partial syntax matching step of partially matches the processed request with the location query language base, and obtains a collection of the syntax matching;

an answer deciding step of selecting form the collection of the syntax matching the optimum matched syntax according to predetermined determination rules, and generating a query action corresponding to the request;

a database searching step of retrieves the corresponding query result from the location database based on the query action; and

an answer fusing and generating step of fusing the query result to generate an answer, and sends the answer to the user terminal.

43. The method of one of claims 37 to 39, wherein said query language matching step further comprises transforming the description that don'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.

44. The method of one of claims 40 to 42, wherein said answer deciding step further comprises transforming the description that doesn'"'"'t satisfy the concept constraint of the matched syntax by searching the mapping ontology of location ontology base.