Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005)
0.01
0.007278278 = product of:
0.03639139 = sum of:
0.028568096 = weight(_text_:web in 4708) [ClassicSimilarity], result of:
0.028568096 = score(doc=4708,freq=4.0), product of:
0.0933738 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.028611459 = queryNorm
0.3059541 = fieldWeight in 4708, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.046875 = fieldNorm(doc=4708)
0.007823291 = product of:
0.023469873 = sum of:
0.023469873 = weight(_text_:29 in 4708) [ClassicSimilarity], result of:
0.023469873 = score(doc=4708,freq=2.0), product of:
0.10064617 = queryWeight, product of:
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.028611459 = queryNorm
0.23319192 = fieldWeight in 4708, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5176873 = idf(docFreq=3565, maxDocs=44218)
0.046875 = fieldNorm(doc=4708)
0.33333334 = coord(1/3)
0.2 = coord(2/10)
- Abstract
- Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over large document repositories. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with keyword-based search to achieve tolerance to KB incompleteness. Our proposal is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.
- Source
- The Semantic Web: research and applications ; second European Semantic WebConference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005 ; proceedings. Eds.: A. Gómez-Pérez u. J. Euzenat
