Semantic search system for automobile information analysis and service

A technology for automobile information and semantic search, applied in the field of semantic search technology, which can solve the problems of ambiguity, scattered and misplaced automobile resource data, etc.

Inactive Publication Date: 2011-11-23
BEIJING NAITE YONGTONG TECH
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing automobile resource data in the semantic search technology is scattered in the prior art, and the standardization is not carried out according to the requirements of semantic description, and the existing semantic processing mode causes the original implicit semantic loss, misplacement and ambiguity. Provides a semantic search system for automotive information analysis and service

Method used

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  • Semantic search system for automobile information analysis and service
  • Semantic search system for automobile information analysis and service

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Embodiment Construction

[0032] The system includes the following parts, such as figure 1 Shown:

[0033] Automobile industry ontology library, used to provide domain knowledge for demand intelligent matching module and demand semantic processor;

[0034] Demand intelligent matching module, which is used to match and reorganize data that conforms to the specification description method according to the domain knowledge of the automobile industry provided by the ontology library;

[0035] Non-structural content parser, used to remove tags and generate summaries for non-structural and content;

[0036] Behavior semantic preprocessing module, used to preprocess semantic information;

[0037] A demand semantic processor is used to convert data into RDF format, and combine inference rules to mine potential relationships between data information;

[0038] The index processing module is used to organize, classify and index information resources;

[0039] The retrieval module includes a user interface and...

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PUM

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Abstract

The invention relates to the technical field of semantic search and provides a semantic search system for automobile information analysis and service to solve the problems of loss, dislocation and blurring of an original latent semantic meaning in the conventional semantic processing mode. The system comprises an automobile industry ontology base, a demand intelligent matching module, a non-structure and content analyzer, a behavioral semantic meaning preprocessing module, a demand semantic processor, an index processing module and a retrieving module, wherein the automobile industry ontology base is used for supplying automobile industry domain knowledge to the demand intelligent matching module and the demand semantic processor; the demand intelligent matching module is used for matching and recombining data which is in accordance with a standard describing way according to the automobile industry domain knowledge supplied by the ontology base; the non-structure and content analyzer is used for eliminating labels of non-structures and contents to generate an abstract; the behavioral semantic meaning preprocessing module is used for preprocessing semantic information; the demand semantic processor is used for converting data into a relational data format (RDF) and finding a latent relationship between data information by using a reasoning rule; the index processing module is used for collecting, sorting and indexing information resources; and the retrieving module comprises a user interface and a searcher.

Description

technical field [0001] The semantic search technology of the present invention particularly relates to a semantic search system for automobile information analysis and service. Background technique [0002] The rapid growth and widespread availability of the Internet has led to an explosion of information online. Born out of the application of search engine technology. Traditional search technology cannot realize intelligent search, and there are few search engines for industry applications. [0003] Existing automobile resource data is scattered and not standardized according to the requirements of semantic description. The existing semantic processing mode is to publish non-semantic content according to the information content with implicit semantics, which leads to the need for traditional semantic searchers to use crawler tools The process of transforming non-semantic content into semantic representations results in the loss, misplacement and ambiguity of the original ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27G06Q30/00
Inventor 赵佩颖
Owner BEIJING NAITE YONGTONG TECH
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