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Authors: Ryan Hardt 1 ; Ethan V. Munson 1 and Hien Nguyen 2

Affiliations: 1 University of Wisconsin-Milwaukee, United States ; 2 University of Wisconsin-Whitewater, United States

ISBN: 978-989-8111-27-2

Keyword(s): Stemming, image retrieval, text-based image retrieval, information retrieval.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Multimedia and User Interfaces ; Searching and Browsing ; Soft Computing ; Symbolic Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Mining

Abstract: A Web image search application was built using a previously-developed image relevance model for retrieval of images via text-based image retrieval. The application includes a text stemmer that converts a word to a canonical form, making it possible to match text in the face of changes in tense or plurality that have little effect on semantics. The usefulness of stemming in Web image retrieval was evaluated via a test on ten queries that were submitted both with and without stemming. Relevance of retrieved images was determined via ratings by three trained individuals. With stemming, the average unique relevance recall (a measure of the proportion of relevant images returned by one algorithm and not another) was 27.7%, while without stemming, it was only 0.5%. These results may more accurately apply to queries containing at least one plural noun, present tense verb, present participle verb, or past tense verb.

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Paper citation in several formats:
Hardt R.; V. Munson E.; Nguyen H. and (2008). A SEARCH ENGINE FOR WEB IMAGES USING DOCUMENT TEXT STEMMING.In Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-27-2, pages 223-230. DOI: 10.5220/0001526502230230

@conference{webist08,
author={Ryan Hardt and Ethan {V. Munson} and Hien Nguyen},
title={A SEARCH ENGINE FOR WEB IMAGES USING DOCUMENT TEXT STEMMING},
booktitle={Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2008},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001526502230230},
isbn={978-989-8111-27-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A SEARCH ENGINE FOR WEB IMAGES USING DOCUMENT TEXT STEMMING
SN - 978-989-8111-27-2
AU - Hardt, R.
AU - V. Munson, E.
AU - Nguyen, H.
PY - 2008
SP - 223
EP - 230
DO - 10.5220/0001526502230230

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