Submitted by: Submitted by shivam0310
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Category: Science and Technology
Date Submitted: 09/06/2016 07:55 AM
Ontology-Based Information Retrieval Model for the Semantic Web
Song Jun-feng, Zhang Wei-ming, Xiao Wei-dong, Li Guo-hui, Xu Zhen-ning
(School of Information System and Management, The National University of Defense Technology,
Changsha 410073,China)
sjfemail@hotmail.com
Abstract
In this paper, we describe ontology-based information
retrieval model for the Semantic Web. By using OWL Lite
as standard ontology language, which is a suitable
tradeoff between expressivity of knowledge and
complexity of reasoning problems, ontology is generated
through translating and integrating domain ontologies.
The terms defined in ontology are used as metadata to
markup the Web’s content; these semantic markups are
semantic index terms for information retrieval. We can
obtain the equivalent classes of semantic index terms by
using description logic reasoner. The logical views of
documents and user information needs, generated in
terms of the equivalent classes of semantic index terms,
can represent documents and user information needs well,
so the performance of information retrieval can be
improved effectively when suitable ranking function is
chosen. The practicability of this model is discussed.
Finally, the related works are introduced, and the
conclusion and our future work are given.
1. Introduction
The research on information retrieval (IR) is boosting
with the coming of Information Age. Everyday, a lot of
data are produced. The need for retrieving useful
information from the huge data sets is urgent.
In this paper, retrieval unit is document, which can be
text, image, video and audio. Information Retrieval [1] is
to find all the relevant documents, which satisfies the user
information need, from a document collection.
According to the research on information retrieval
models, we know that at present, vector model is
dominant thought among researchers, practitioners and
the Web community. [1] But information retrieval for the
Web is...