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User Relevance Feedback in Semantic Information Retrieval

User Relevance Feedback in Semantic Information Retrieval

Antonio Picariello, Antonio M. Rinaldi
Copyright: © 2007 |Volume: 3 |Issue: 2 |Pages: 15
ISSN: 1548-3657|EISSN: 1548-3665|ISSN: 1548-3657|EISBN13: 9781615203673|EISSN: 1548-3665|DOI: 10.4018/jiit.2007040103
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MLA

Picariello, Antonio, and Antonio M. Rinaldi. "User Relevance Feedback in Semantic Information Retrieval." IJIIT vol.3, no.2 2007: pp.36-50. http://doi.org/10.4018/jiit.2007040103

APA

Picariello, A. & Rinaldi, A. M. (2007). User Relevance Feedback in Semantic Information Retrieval. International Journal of Intelligent Information Technologies (IJIIT), 3(2), 36-50. http://doi.org/10.4018/jiit.2007040103

Chicago

Picariello, Antonio, and Antonio M. Rinaldi. "User Relevance Feedback in Semantic Information Retrieval," International Journal of Intelligent Information Technologies (IJIIT) 3, no.2: 36-50. http://doi.org/10.4018/jiit.2007040103

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Abstract

The user dimension is a crucial component in the information retrieval process and for this reason it must be taken into account in planning and technique implementation in information retrieval systems. In this article we present a technique based on relevance feedback to improve the accuracy in an ontology based information retrieval system. Our proposed method combines the semantic information in a general knowledge base with statistical information using relevance feedback. Several experiments and results are presented using a test set constituted of Web pages.

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