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Author: Yevgeniy Guseynov

Affiliation: Optimal Solutions & Technologies, United States

Keyword(s): Foundation of information retrieval, Indexing in information retrieval.

Related Ontology Subjects/Areas/Topics: Ontology and the Semantic Web ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: In this paper, we present a formalization of an Index Assignment process that was used against documents stored in a text database. The process uses key phrases or terms from a hierarchical thesaurus or ontology and is based on the new notion of entropy on ontology for terms and their weights that is an extension of the Shannon concept of entropy in Information Theory and the Resnik semantic similarity measure for terms on ontology. Introduced notion provides a measure of closeness or semantic similarity for a set of terms in ontology and their weights and allows creation of a clustering algorithm that constructively resolves index assignment task. The algorithm was tested on 30,000 documents randomly extracted from MEDLINE biomedicine database that are manually indexed by professional indexers. The main output from experiments shows that after all 30,000 documents were processed in seven topics out of ten the presented algorithm and human indexers have the same understanding of docu ments. (More)

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Paper citation in several formats:
Guseynov, Y. (2011). ENTROPY ON ONTOLOGY AND INDEXING IN INFORMATION RETRIEVAL. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 555-567. DOI: 10.5220/0003298205550567

@conference{webist11,
author={Yevgeniy Guseynov.},
title={ENTROPY ON ONTOLOGY AND INDEXING IN INFORMATION RETRIEVAL},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={555-567},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003298205550567},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - ENTROPY ON ONTOLOGY AND INDEXING IN INFORMATION RETRIEVAL
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Guseynov, Y.
PY - 2011
SP - 555
EP - 567
DO - 10.5220/0003298205550567
PB - SciTePress