Semantic-enhanced information search and retrieval

Wei Wang*, Payam M. Barnaghi, Andrzej Bargiela

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

14 Citations (Scopus)

Abstract

Information Retrieval (IR) techniques have been extensively studied since late 1940s and achieved great success evidenced particularly by popular online search engines. However, various classical information retrieval models also have witnessed criticism for emphasizing computation with occurrence of words while ignoring semantics (i.e. meaning of words, search context and etc). Research of the Semantic Web in recent years has provided an opportunity to migrate from mere word-computing to semantic-enhanced information search and retrieval. In this paper, we describe a methodology by combing the Semantic Web technologies, information extraction and social network analysis techniques to elicit semantics from available data in order to develop a semantic-enhanced information search and retrieval system.

Original languageEnglish
Title of host publicationProceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology
Pages218-223
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event6th International Conference on Advanced Language Processing and Web Information Technology, ALPIT 2007 - Luoyang, Henan, China
Duration: 22 Aug 200724 Aug 2007

Publication series

NameProceedings - ALPIT 2007 6th International Conference on Advanced Language Processing and Web Information Technology

Conference

Conference6th International Conference on Advanced Language Processing and Web Information Technology, ALPIT 2007
Country/TerritoryChina
CityLuoyang, Henan
Period22/08/0724/08/07

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