System and method for constructing information-analysis-oriented knowledge maps

Abstract

The invention discloses a system and method for constructing information-analysis-oriented knowledge maps. The system comprises a data acquisition module, a text extraction module, an entity recognition module, a semantic analysis module and an entity-relation extraction module, wherein the data acquisition module is used for carrying out cleaning and simple preprocessing on acquired data and outputting the data to the text extraction module; the text extraction module is used for carrying out data cleaning and preprocessing on structured and unstructured data and conveying clean data to the entity recognition module; the entity recognition module is used for segmenting words of a text, marking the word characteristics of the segmented words, then extracting terms and conveying extracted results to the semantic analysis module; the semantic analysis module is used for analyzing and extracting relation among bodies, generating a semantic metadata model by a body construction tool and outputting the semantic metadata model to the entity-relation extraction module; and the entity-relation extraction module is used for finally generating knowledge map language by extracting taxonomic relation and non-taxonomic relation. The system and method disclosed by the invention have the advantages that by combination of syntactic training and association rules, not only are external input and artificial intervention reduced, but also the entity relation can be continuously recognized.

Description

technical field [0001] The present invention relates to the fields of natural language processing, computer information processing technology, application of Chinese knowledge base, etc., especially relates to the field of knowledge map construction. Background technique [0002] In recent years, it has been an era of data explosion, and the amount of data has maintained an annual growth rate of about 50%. In order to process these massive data, tap the potential meaning of these data, and improve the quality and efficiency of retrieval, major research institutions and Search engine manufacturers are racking their brains. With the full development of Linking Open Data and other projects, the number of Semantic Web data sources has increased rapidly, and a large amount of RDF (Resource Description Framework, Resource Description Framework) data has been published. The Internet is changing from the Document Web (Document Web), which only contains web pages and hyperlinks betw...

AI Technical Summary

Problems solved by technology

This is only for structured data. As we all know, most of the data we usually need to deal with is unstructured data, so this method has very narrow applicability and cannot fulfill our requirements.

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