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An Ontology-Based Information Retrieval Model

by: David Vallet, Miriam Fernández, and Pablo Castells

In: The Semantic Web: Research and Applications (2005) , p. 455--470.

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URL:	http://dx.doi.org/10.1007/11431053_31

Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based 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.

BibTeX record

@inbook{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 ontology-based {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.},
  added-at = {2009-03-16T20:28:54.000+0100},
  author = {Vallet, David and Fernández, Miriam and Castells, Pablo},
  biburl = {http://www.bibsonomy.org/bibtex/2af6907a9f89058b3560a7ff52da46473/davidlan},
  booktitle = {The Semantic Web: Research and Applications},
  interhash = {092f8fda250e473f0646f52e836accde},
  intrahash = {af6907a9f89058b3560a7ff52da46473},
  keywords = {ir ontologies semantic},
  pages = {455--470},
  timestamp = {2009-03-16T20:28:54.000+0100},
  title = {An {Ontology-Based} Information Retrieval Model},
  url = {http://dx.doi.org/10.1007/11431053_31},
  year = 2005
}

Endnote record

%0 Book Section
%1 vallet_ontology-based_2005
%A Vallet, David
%A Fernández, Miriam
%A Castells, Pablo
%B The Semantic Web: Research and Applications
%D 2005
%K 
%P 455--470
%T An {Ontology-Based} Information Retrieval Model
%U http://dx.doi.org/10.1007/11431053_31
%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 ontology-based {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.

BibSonomy :: publication ::

An Ontology-Based Information Retrieval Model

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Abstract

BibTeX record

Endnote record