Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2006

Abstract

OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, OntoSearch does not require a user to specify the associated concepts of his/her queries. Domain ontology in OntoSearch is in the form of a semantic network. Given a keyword based query, OntoSearch infers the related concepts through a spreading activation process in the domain ontology. To provide personalized information access, we further develop algorithms to learn and exploit user ontology model based on a customized view of the domain ontology. The proposed system has been applied to the domain of searching scientific publications in the ACM Digital Library. The experimental results support the efficacy of the OntoSearch system by using domain ontology and user ontology for enhanced search performance.

Keywords

Data structures, Information retrieval systems, Knowledge based systems, Semantics, World Wide Web, search engines

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of the 21st National Conference on Artificial Intelligence (AAAI '06): Boston, July 16-20

Volume

2

First Page

1325

Last Page

1330

ISBN

9781577352815

Publisher

AAAI Press

City or Country

Palo Alto, CA

Additional URL

https://www.aaai.org/Library/AAAI/2006/aaai06-208.php

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