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Indexed by:期刊论文

Date of Publication:2016-05-01

Journal:ICIC Express Letters

Included Journals:EI、Scopus

Volume:10

Issue:5

Page Number:1101-1108

ISSN No.:1881803X

Abstract:Semantic search based on ontology is a relatively new promising search technology in Web search. The quality of search result is crucial for the success of a search system and depends mainly on the domain ontology in semantic search. However, the domain ontologies usually fail to be updated in time and even in some cases still stay in the initial state that does not contain enough semantics to provide the powerful support for semantic search as the Web evolves continuously. As a result, the quality of search result was often poor. This paper proposes an ontology evolving-driven semantic search system that combines the automatic ontology evolution with semantic search. The aim of this modification is to efficiently enhance the performance of the semantic search by periodically automatic ontology evolution, which can enrich the domain ontology by adding more semantics into it. Furthermore, an algorithm of personalized ranking based on ontology is presented in this paper in order to ensure achieving the high-quality ranking results. The performance of the proposed system is evaluated with three experiments, and the experimental results show that the improved semantic search system has a much better performance than the one without ontology evolution. ? 2016 ICIC International.