J. Paralic, and I. Kostial. Proc. of the 14th International Conference on Information and Intelligent systems, IIS 2003, page 23--28. (2003)
Abstract
In the proposed article a new, ontology-based approach to information retrieval (IR) ispresented. The system is based on a domain knowledge representation schema in form of ontology.New resources registered within the system are linked to concepts from this ontology. In such a wayresources may be retrieved based on the associations and not only based on partial or exact termmatching as the use of vector model presumes In order to evaluate the quality of this retrievalmechanism, experiments to measure retrieval efficiency have been performed with well-known CysticFibrosis collection of medical scientific papers. The ontology-based retrieval mechanism has beencompared with traditional full text search based on vector IR model as well as with the LatentSemantic Indexing method.
%0 Conference Paper
%1 paralic03ir
%A Paralic, Jan
%A Kostial, Ivan
%B Proc. of the 14th International Conference on Information and Intelligent systems, IIS 2003
%D 2003
%K research.kr.ontologies research.ir
%P 23--28
%T Ontology-based Information Retrieval
%U http://people.tuke.sk/jan.paralic/papers/IIS03.pdf
%X In the proposed article a new, ontology-based approach to information retrieval (IR) ispresented. The system is based on a domain knowledge representation schema in form of ontology.New resources registered within the system are linked to concepts from this ontology. In such a wayresources may be retrieved based on the associations and not only based on partial or exact termmatching as the use of vector model presumes In order to evaluate the quality of this retrievalmechanism, experiments to measure retrieval efficiency have been performed with well-known CysticFibrosis collection of medical scientific papers. The ontology-based retrieval mechanism has beencompared with traditional full text search based on vector IR model as well as with the LatentSemantic Indexing method.
@inproceedings{paralic03ir,
abstract = {In the proposed article a new, ontology-based approach to information retrieval (IR) ispresented. The system is based on a domain knowledge representation schema in form of ontology.New resources registered within the system are linked to concepts from this ontology. In such a wayresources may be retrieved based on the associations and not only based on partial or exact termmatching as the use of vector model presumes In order to evaluate the quality of this retrievalmechanism, experiments to measure retrieval efficiency have been performed with well-known CysticFibrosis collection of medical scientific papers. The ontology-based retrieval mechanism has beencompared with traditional full text search based on vector IR model as well as with the LatentSemantic Indexing method.},
added-at = {2009-06-25T16:49:10.000+0200},
author = {Paralic, Jan and Kostial, Ivan},
biburl = {https://www.bibsonomy.org/bibtex/2b0a004fa3b5f97fb411be3742f9ba6aa/msn},
booktitle = {Proc. of the 14th International Conference on Information and Intelligent systems, IIS 2003},
description = {Ontology-based Information Retrieval},
file = {paralic03ir.pdf:papers\\paralic03ir.pdf:PDF},
interhash = {b4b45353771a59393c41864f0a132f66},
intrahash = {b0a004fa3b5f97fb411be3742f9ba6aa},
keywords = {research.kr.ontologies research.ir},
pages = {23--28},
timestamp = {2009-06-25T16:49:10.000+0200},
title = {Ontology-based Information Retrieval},
url = {http://people.tuke.sk/jan.paralic/papers/IIS03.pdf},
year = 2003
}