Conference proceeding
Using BM25F for semantic search
Proceedings of the 3rd International Semantic Search Workshop, pp 1-8
26 Apr 2010
Abstract
Information Retrieval (IR) approaches for semantic web search engines have become very populars 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.
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17 citations in Scopus
Details
- Title
- Using BM25F for semantic search
- Creators
- José Pérez-Agüera - Metadata Research Center., SLIS. UNCJavier Arroyo - Computer Science School., UCMJane Greenberg - Metadata Research Center., SLIS. UNCJoaquin Iglesias - Computer Science School., UNEDVictor Fresno - Computer Science School., UNED
- Publication Details
- Proceedings of the 3rd International Semantic Search Workshop, pp 1-8
- Series
- SEMSEARCH '10
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85141271642
- Other Identifier
- 991020531836604721