@inproceedings{37e9b9eb7d664bf9affb04efed13add8,
title = "Enriching ontology for deep web search",
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.",
keywords = "Deep Web, Domain Ontology, Instance Extraction, Semantic Web",
author = "An, {Yoo Jung} and Chun, {Soon Ae} and Huang, {Kuo Chuan} and James Geller",
year = "2008",
doi = "10.1007/978-3-540-85654-2_9",
language = "English (US)",
isbn = "3540856536",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "73--80",
booktitle = "Database and Expert Systems Applications - 19th International Conference, DEXA 2008, Proceedings",
note = "19th International Conference on Database and Expert Systems Applications, DEXA 2008 ; Conference date: 01-09-2008 Through 05-09-2008",
}