Word-Space Approach To Case-Based Retrieval

Kitanovski, Ivan and Trojachanec, Katarina and Dimitrovski, Ivica and Loshkovska, Suzana (2013) Word-Space Approach To Case-Based Retrieval. In: Proceedings of the Tenth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 65-68. ISBN 978-608-4699-01-9

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Abstract

This paper presents a strategy for medical articles retrieval, a process also known as case-based retrieval. The proposed strategy is a word-space approach and uses Terrier IR search engine for indexing and retrieval. The medical articles were indexed on different parts of their content to determine which part provides best performance in indexing and retrieval. In the retrieval phase, experiments with six different weighting models were performed. The results show that the best performance is achieved by indexing the whole content of the articles (including the image captions) and by using the BM25 weighting model in the retrieval phase.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11131

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