Enhancing the famous people ontology by mining a social network

Soon Ae Chun; Tian Tian; James Geller

doi:10.1145/2494068.2494073

Enhancing the famous people ontology by mining a social network

Soon Ae Chun, Tian Tian, James Geller

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the 2nd International Workshop on Semantic Search over the Web, SSW 2012
DOIs	https://doi.org/10.1145/2494068.2494073
State	Published - 2012
Event	2nd International Workshop on Semantic Search over the Web, SSW 2012 - Istanbul, Turkey Duration: Aug 27 2012 → Aug 27 2012

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	2nd International Workshop on Semantic Search over the Web, SSW 2012
Country/Territory	Turkey
City	Istanbul
Period	8/27/12 → 8/27/12

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1145/2494068.2494073

Cite this

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title = "Enhancing the famous people ontology by mining a social network",

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.",

author = "Chun, {Soon Ae} and Tian Tian and James Geller",

year = "2012",

doi = "10.1145/2494068.2494073",

language = "English (US)",

isbn = "9781450323017",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings of the 2nd International Workshop on Semantic Search over the Web, SSW 2012",

note = "2nd International Workshop on Semantic Search over the Web, SSW 2012 ; Conference date: 27-08-2012 Through 27-08-2012",

}

Chun, SA, Tian, T & Geller, J 2012, Enhancing the famous people ontology by mining a social network. in Proceedings of the 2nd International Workshop on Semantic Search over the Web, SSW 2012. ACM International Conference Proceeding Series, 2nd International Workshop on Semantic Search over the Web, SSW 2012, Istanbul, Turkey, 8/27/12. https://doi.org/10.1145/2494068.2494073

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T1 - Enhancing the famous people ontology by mining a social network

AU - Chun, Soon Ae

AU - Tian, Tian

AU - Geller, James

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84883678905&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883678905&partnerID=8YFLogxK

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DO - 10.1145/2494068.2494073

M3 - Conference contribution

AN - SCOPUS:84883678905

SN - 9781450323017

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 2nd International Workshop on Semantic Search over the Web, SSW 2012

T2 - 2nd International Workshop on Semantic Search over the Web, SSW 2012

Y2 - 27 August 2012 through 27 August 2012

ER -

Enhancing the famous people ontology by mining a social network

Abstract

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