POLYPHONET: an advanced social network extraction system from the web
Proceedings of the 15th international conference on World Wide Web
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data mining emotion in social network communication: Gender differences in MySpace
Journal of the American Society for Information Science and Technology
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Improving web search results for homonyms by suggesting completions from an ontology
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Google Knows Who is Famous Today -- Building an Ontology from Search Engine Knowledge and DBpedia
ICSC '11 Proceedings of the 2011 IEEE Fifth International Conference on Semantic Computing
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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.