Semantic search system for automobile information analysis and service

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 ...

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

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