Semantic ontology retrieval system and method

A retrieval system and semantic technology, applied in the field of information retrieval, can solve problems such as the inability to identify semantic information, unsatisfactory matching efficiency between keywords and semantic concepts, and low search accuracy, so as to achieve the effect of improving accuracy
CN101169780AInactive Publication Date: 2008-04-30HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2008-04-30
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The inventive embodiment discloses an indexing system based on a semantic body. The system comprises a semantic body index database and a semantic body indexing processing unit. The semantic body indexing processing unit is used for acquiring a text hit file list, matching the text hit file list with a semantic body index in the semantic body index database to obtain a file semantic classification list. The indexing system can identify the semantic information of a file to be indexed, and the semantic classification result is presented in the searching result. The invention also discloses an indexing method based on semantic body, which comprises constructing semantic body index for the file with constructed text index, and performing semantic body index matching to the text matching result when user is searching, so that the semantic classification is presented in the final output result based on the conventional text matching result, thereby facilitating user's searching.
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Description

technical field

[0001] The invention relates to information retrieval technology, in particular to a semantic ontology-based retrieval system and method. Background technique

[0002] With the rapid development of retrieval technology, text-based information retrieval technology has gradually matured, forming a complete set of ideas and perfect algorithms, and has been widely used in various search engines, such as Google (Google), AltaVista, etc. , Lycos, Yahoo (Yahoo), etc.

[0003] figure 1 It is a structural block diagram of an existing text search engine. Such as figure 1 As shown, the existing text search engine includes: spider control module 101, uniform resource location (URL) database 102, web spider 103, URL extraction module 104, webpage database 105, link information extraction module 106, text index module 107, link Database 108 , Index Database 109 , Web Page Rating Module 110 and Query Server 111 .

[0004] The web spider 103 crawls web pages from the In...

Claims

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