Conference proceeding
INEX+DBPEDIA: a corpus for semantic search evaluation
Proceedings of the 19th international conference on world wide web, pp 1161-1162
26 Apr 2010
Abstract
This paper presents a new collection based on DBpedia and INEX for evaluating semantic search performance. The proposed corpus is used to calculate the impact of considering document's structure on the retrieval performance of the Lucene and BM25 ranking functions. Results show that BM25 outperforms Lucene in all the considered metrics and that there is room for future improvements, which may be obtained using a hybrid approach combining both semantic technology and information retrieval ranking functions.
Metrics
2 Record Views
3 citations in Scopus
Details
- Title
- INEX+DBPEDIA
- Creators
- Jose Perez-Aguera - University of North Carolina at Chapel HillJavier Arroyo - UCM, Madrid, SpainJane Greenberg - University of North Carolina at Chapel HillJoaquin Perez-Iglesias - Universidad Nacional de Educación a DistanciaVictor Fresno - Universidad Nacional de Educación a Distancia
- Publication Details
- Proceedings of the 19th international conference on world wide web, pp 1161-1162
- Series
- WWW '10
- Publisher
- ACM
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-77954606833
- Other Identifier
- 991020532101504721