Improving web-query processing through semantic knowledge

被引：20

作者：

Conesa, Jordi ^{[2
]}

Storey, Veda C. ^{[3
]}

Sugumaran, Vijayan ^{[1
]}

机构：

[1] Oakland Univ, Sch Business Adm, Rochester, MI 48309 USA

[2] Univ Oberta Catalunya, Estudis Infortnat & Multimedia, E-08018 Barcelona, Spain

[3] Georgia State Univ, Dept Comp Informat Syst, J Mark Robinson Collage Business, Atlanta, GA 30302 USA

来源：

DATA & KNOWLEDGE ENGINEERING | 2008年 / 66卷 / 01期

关键词：

web-query processing; query expansion; ResearchCyc; Cyc; semantic knowledge; knowledge repositories;

D O I：

10.1016/j.datak.2007.07.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Although search engines are very useful for obtaining information from the World Wide Web, users still have problems obtaining the most relevant information when processing their web queries. Prior research has attempted to use different types of knowledge to improve web querying processing with various levels of success. This research presents a methodology for processing web queries that employs semantic knowledge about different application domains from ResearchCyc, as well as linguistic knowledge from WordNet. An analysis of different queries from different application domains using the semantic and linguistic knowledge illustrates how more relevant results can be obtained. (C) 2007 Elsevier B.V. All rights reserved.

引用

页码：18 / 34

页数：17

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