%0 Journal Article %1 vallet_ontology-based_2005 %A Vallet, David %A Fernández, Miriam %A Castells, Pablo %D 2005 %J Lecture Notes in Computer Science : The Semantic Web: Research and Applications %K ontologien information_retrieval %P 455--470 %T An ontology-based information retrieval model %X Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontol- ogy-based KBs to improve search over large document repositories. Our ap- proach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adapta- tion of the classic vector-space model, including an annotation weighting algo- rithm, and a ranking algorithm. Semantic search is combined with keyword- based search to achieve tolerance to KB incompleteness. Our proposal is illus- trated with sample experiments showing improvements with respect to key- word-based search, and providing ground for further research and discussion.

@article{vallet_ontology-based_2005, 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 ontol- ogy-based KBs to improve search over large document repositories. Our ap- proach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adapta- tion of the classic vector-space model, including an annotation weighting algo- rithm, and a ranking algorithm. Semantic search is combined with keyword- based search to achieve tolerance to KB incompleteness. Our proposal is illus- trated with sample experiments showing improvements with respect to key- word-based search, and providing ground for further research and discussion.}, added-at = {2018-11-04T17:02:36.000+0100}, author = {Vallet, David and Fernández, Miriam and Castells, Pablo}, biburl = {https://www.bibsonomy.org/bibtex/21044959b78ccdd81d57f35762a947007/lepsky}, interhash = {092f8fda250e473f0646f52e836accde}, intrahash = {1044959b78ccdd81d57f35762a947007}, journal = {Lecture Notes in Computer Science : The Semantic Web: Research and Applications}, keywords = {ontologien information_retrieval}, pages = {455--470}, timestamp = {2018-11-07T09:14:29.000+0100}, title = {An ontology-based information retrieval model}, year = 2005 }