Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005)
0.01
0.005549766 = product of:
0.013874415 = sum of:
0.009138121 = weight(_text_:a in 4708) [ClassicSimilarity], result of:
0.009138121 = score(doc=4708,freq=10.0), product of:
0.053464882 = queryWeight, product of:
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046368346 = queryNorm
0.1709182 = fieldWeight in 4708, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
1.153047 = idf(docFreq=37942, maxDocs=44218)
0.046875 = fieldNorm(doc=4708)
0.0047362936 = product of:
0.009472587 = sum of:
0.009472587 = weight(_text_:information in 4708) [ClassicSimilarity], result of:
0.009472587 = score(doc=4708,freq=2.0), product of:
0.08139861 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046368346 = queryNorm
0.116372846 = fieldWeight in 4708, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=4708)
0.5 = coord(1/2)
0.4 = coord(2/5)
- 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
- Type
- a
