NDLI: Context query in information retrieval

Content Provider	IEEE Xplore Digital Library
Author	Chi-Hung Chi Chen Ding Kwok-Yan Lam
Copyright Year	2002
Description	Author affiliation: Sch. of Comput., Nat. Univ. of Singapore, Singapore (Chi-Hung Chi; Chen Ding)
Abstract	There is an important query requirement missing for search engines. With the wide variation of domain knowledge and user interest, a user would like to retrieve documents in which one query term is discussed in the context of another. Based on existing query mechanisms, what can be specified at most is the co-occurrence of multiple terms in a query. This is insufficient because the co-occurrence of two terms does not necessarily mean that one is discussed in the context of the other. In this paper we propose the context query for Web searching. A new query operator, called the 'in' operator, is used to specify context inclusion between two terms. Heuristic rules to identify context inclusion are suggested and implementation of the 'in' operator in search engines is proposed. Results show that both the precision and ranking relevance of Web searching are improved significantly.
Sponsorship	IEEE Comput. Soc. Inf. Technol. Res. Inst. Wright State Univ
Starting Page	101
Ending Page	106
File Size	248450
Page Count	6
File Format	PDF
ISBN	0769518494
ISSN	10823409
DOI	10.1109/TAI.2002.1180793
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information retrieval Search engines Web search Information science Internet Uniform resource locators Text analysis Indexing Data mining Web pages
Content Type	Text
Resource Type	Article

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