Enriching ontology for deep web search

Document Type

Conference Proceeding

Publication Date

10-6-2008

Abstract

This paper addresses the problems of extracting instances from the Deep Web, enriching a domain specific ontology with those instances, and using this ontology to improve Web search. Extending an existing ontology with a large number of instances extracted from the Deep Web is an important process for making the ontology more usable for indexing of Deep Web sites. We demonstrate how instances extracted from the Deep Web are used to enhance a domain ontology. We show the contribution of the enriched ontology to Web search effectiveness. This is done by comparing the number of relevant Web sites returned by a search engine with a user's search terms only, with the Web sites found when using additional ontology-based search terms. Experiments suggest that the ontology plus instances approach results in more relevant Web sites among the first 100 hits. © 2008 Springer-Verlag Berlin Heidelberg.

Identifier

52949119228 (Scopus)

ISBN

[3540856536, 9783540856535]

Publication Title

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

External Full Text Location

https://doi.org/10.1007/978-3-540-85654-2_9

e-ISSN

16113349

ISSN

03029743

First Page

73

Last Page

80

Volume

5181 LNCS

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