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poster

Generating summaries for ontology search

Published: 28 March 2011 Publication History

Abstract

This poster proposes a novel approach for generating summaries for ontology search. Following previous work, we define ontology summarization as the problem of ranking and selecting RDF sentences, for which we examine three aspects. Firstly, to assess the salience of RDF sentences in an ontology, we devise a bipartite graph model for representing the ontology and analyze random walks on this graph. Secondly, to reflect how an ontology is matched with user needs expressed via keyword queries, we incorporate query relevance into the selection of RDF sentences. Finally, to improve the unity of a summary, we optimize its cohesion in terms of the connections between constituent RDF sentences. We have implemented an online prototype system called Falcons Ontology Search.

References

[1]
. Lempel and S. Moran. SALSA: The stochastic approach for link-structure analysis. phACM Trans. Inf. Syst., 19(2):131--160, April 2001.
[2]
. Zhang, G. Cheng, and Y. Qu. Ontology summarization based on rdf sentence graph. In phProc. WWW, pages 707--716, May 2007.

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cover image ACM Other conferences
WWW '11: Proceedings of the 20th international conference companion on World wide web
March 2011
552 pages
ISBN:9781450306379
DOI:10.1145/1963192

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 March 2011

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  1. cohesion
  2. ontology summarization
  3. query relevance
  4. random walk
  5. ranking

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WWW '11
WWW '11: 20th International World Wide Web Conference
March 28 - April 1, 2011
Hyderabad, India

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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