Enhancing the famous people ontology by mining a social network
Document Type
Conference Proceeding
Publication Date
12-1-2012
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. © 2012 ACM.
Identifier
84883678905 (Scopus)
ISBN
[9781450323017]
Publication Title
ACM International Conference Proceeding Series
External Full Text Location
https://doi.org/10.1145/2494068.2494073
Recommended Citation
Chun, Soon Ae; Tian, Tian; and Geller, James, "Enhancing the famous people ontology by mining a social network" (2012). Faculty Publications. 17992.
https://digitalcommons.njit.edu/fac_pubs/17992
