Using semantic knowledge to improve web query processing

被引：0
|
作者：
Conesa, Jordi
Storey, Veda C.
Sugumaran, Vijayan
机构：
[1] Univ Politecn Cataluna, Dept Ilenguatges & Sistemas Informat, ES-08034 Barcelona, Spain
[2] Georgia State Univ, J Mark Robinson Coll Business, Dept Comp Informat Sci, Atlanta, GA 30302 USA
[3] Oakland Univ, Sch Business Adm, Rochester, MI 48309 USA
来源：
NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, PROCEEDINGS | 2006年 / 3999卷
关键词：
D O I：
暂无
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. This research presents a methodology for employing a specific body of knowledge, ResearchCyc, which provides semantic knowledge about different application domains. Semantic knowledge from ResearchCyc, as well as linguistic knowledge from WordNet, is employed. An analysis of different queries from different application domains using the semantic and linguistic knowledge illustrates how more relevant results can be obtained.
引用
收藏
页码：106 / 117
页数：12
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