Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005)
0.03
0.030007713 = product of:
0.09002314 = sum of:
0.09002314 = weight(_text_:search in 4708) [ClassicSimilarity], result of:
0.09002314 = score(doc=4708,freq=10.0), product of:
0.1747324 = queryWeight, product of:
3.475677 = idf(docFreq=3718, maxDocs=44218)
0.05027291 = queryNorm
0.51520574 = fieldWeight in 4708, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.475677 = idf(docFreq=3718, maxDocs=44218)
0.046875 = fieldNorm(doc=4708)
0.33333334 = coord(1/3)
- 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.
