Enhancing the famous people ontology by mining a social network

Soon Ae Chun, Tian Tian, James Geller

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

Abstract

The search terms that a user passes to a search engine are often ambiguous, referring to homonyms. The results in these cases are a mixture of links to documents that contain different meanings of the search terms. To improve the search for homonyms, we previously designed an Ontology-Supported Web Search System (OSWS) for "famous people." To serve this system, we built an ontology of famous people based on mining the suggested completions of a search engine and on data from DBpedia. In this paper, we present an approach to improve the OSWS ontology by mining data from Facebook "people public pages." Facebook attributes are cleaned up and mapped to the OSWS ontology.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Workshop on Semantic Search over the Web, SSW 2012
DOIs
StatePublished - Dec 1 2012
Event2nd International Workshop on Semantic Search over the Web, SSW 2012 - Istanbul, Turkey
Duration: Aug 27 2012Aug 27 2012

Publication series

NameACM International Conference Proceeding Series

Other

Other2nd International Workshop on Semantic Search over the Web, SSW 2012
CountryTurkey
CityIstanbul
Period8/27/128/27/12

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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