Title :
Google Knows Who is Famous Today -- Building an Ontology from Search Engine Knowledge and DBpedia
Author :
Ochs, Christopher ; Tian, Tian ; Geller, James ; Chun, Soon Ae
Author_Institution :
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
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.
Keywords :
data mining; ontologies (artificial intelligence); query processing; search engines; DBpedia; Google; Wikipedia; data mining; ontology-supported Web search system; partial user search queries; query completions; search engine knowledge; static ontology; Data mining; Electronic publishing; Encyclopedias; Google; Internet; Ontologies; DBpedia; disambiguating Web searches; homonyms; mining suggested completions; ontology; ontology extraction from Web; suggested completions;
Conference_Titel :
Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
Conference_Location :
Palo Alto, CA
Print_ISBN :
978-1-4577-1648-5
Electronic_ISBN :
978-0-7695-4492-2
DOI :
10.1109/ICSC.2011.50
