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

Author

Che, Haiyan ; Sun, Jigui ; Jing, Tao ; Bai, Xi

Author_Institution

Jilin Univ., Changchun

Volume

2

fYear

2007

fDate

24-27 Aug. 2007

Firstpage

663

Lastpage

667

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.

Keywords

information retrieval; knowledge based systems; natural language processing; search engines; semantic Web; Chinese natural language document; information extraction; knowledge extraction; natural language processing; semantic Web; semantic-based intelligent search engine; user query request; Computer science; Data mining; Educational institutions; Educational technology; Knowledge engineering; Laboratories; Ontologies; Prototypes; Search engines; Web pages;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2874-8

Type

conf

DOI

10.1109/FSKD.2007.111

Filename

4406159