Google knows who is famous today - Building an ontology from search engine knowledge and DBpedia

Christopher Ochs, Tian Tian, James Geller, Soon Ae Chun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search engine that are produced in response to partial user search queries. This is combined with data from DBpedia. We use this ontology to provide disambiguated search suggestions within a dynamic version of our previous Ontology-Supported Web Search system.

Original languageEnglish (US)
Title of host publicationProceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011
Pages320-327
Number of pages8
DOIs
StatePublished - Nov 21 2011
Event5th Annual IEEE International Conference on Semantic Computing, ICSC 2011 - Palo Alto, CA, United States
Duration: Sep 18 2011Sep 21 2011

Publication series

NameProceedings - 5th IEEE International Conference on Semantic Computing, ICSC 2011

Other

Other5th Annual IEEE International Conference on Semantic Computing, ICSC 2011
CountryUnited States
CityPalo Alto, CA
Period9/18/119/21/11

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Keywords

  • DBpedia
  • Disambiguating web searches
  • Homonyms
  • Mining suggested completions
  • Ontology
  • Ontology extraction from web
  • Suggested completions

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