2010 UsingBM25FforSemanticSearch

• (Pérez-Agüera et al., 2010) ⇒ José R. Pérez-Agüera, Javier Arroyo, Jane Greenberg, Joaquin Perez Iglesias, and Victor Fresno. (2010). “Using BM25F for Semantic Search.” In: Proceedings of the 3rd International Semantic Search Workshop. doi:10.1145/1863879.1863881

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Cited By

• ~5 http://scholar.google.com/scholar?q=%22Using+BM25F+for+semantic+search%22+2010
• http://dl.acm.org/citation.cfm?doid=1863879.1863881&preflayout=flat#citedby

Quotes

Author Keywords

Information Retrieval, Semantic Search, BM25F

Abstract

Information Retrieval (IR) approaches for semantic web search engines have become very popular in the last years. Popularization of different IR libraries, like Lucene, that allows IR implementations almost out-of-the-box have make easier IR integration in Semantic Web search engines. However, one of the most important features of Semantic Web documents is the structure, since this structure allow us to represent semantic in a machine readable format. In this paper we analyze the specific problems of structured IR and how to adapt weighting schemas for semantic document retrieval.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 UsingBM25FforSemanticSearch	José R. Pérez-Agüera Javier Arroyo Jane Greenberg Joaquin Perez Iglesias Victor Fresno			Using BM25F for Semantic Search				10.1145/1863879.1863881