An ontology based personalizing search measure with the protection of original engine integrity

Xiao Dong Wang, Qiang Qiang

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

IR techniques are widely used to locate surfers' interesting information resource on the Web. Every IR engine has its immanent advantage, while user's retrieval hobby is also diverse. Thus, to satisfy individual, personalizing search becomes more and more popular. But, regardless of familiar environment for users, exist personalizing search measures just present a mixed result list from different engines. The combination destroys the integrity of original IR engine and pilot user to a strange interface. Aim to overcome the outstanding shortcoming, this paper presents an Ontology based personalizing search measure, which builds user profile and offers not a rigid combination result but the most appropriate engine with respect to query, so that the original engine integrity is protected. Some primary experiments illustrate that the measure is feasible and valuable.

Original languageEnglish (US)
Pages (from-to)155-160
Number of pages6
JournalAdvances in Intelligent and Soft Computing
Volume145 AISC
Issue numberVOL. 2
DOIs
StatePublished - Jul 2 2012
Event2011 2nd International Congress on Computer Applications and Computational Science, CACS 2011 - Bali, Indonesia
Duration: Nov 15 2011Nov 17 2011

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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