A Prototype of Semantic-Based Intelligent Search Engine for Chinese Documents

Authors:
Haiyan Che;Jigui Sun;Tao Jing;Xi Bai
Affiliations:
Jilin University;Jilin University;Jilin University;Jilin University
Venue:
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Year:
2007

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Abstract

To overcome the shortcomings of traditional search engines, advocates a prototype of semantic-based search engine, called CRAB. By combining technologies of Semantic Web, Information Extraction (IE), Natural Language Processing (NLP) and a novel theme-based method, this framework can extract factual knowledge from Chinese natural language documents automatically. Instead of list of document links, results of user's query request returned from CRAB are semantically coherent reports generated intelligently, which can satisfy users greatly.