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Authors: Shuguang Wang ; Shyam Visweswaran and Milos Hauskrecht

Affiliation: University of Pittsburgh, United States

Keyword(s): Information retrieval, Link analysis, Domain knowledge, Biomedical documents, Probabilistic model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems

Abstract: We are interested in enhancing information retrieval methods by incorporating domain knowledge. In this paper, we present a new document retrieval framework that learns a probabilistic knowledge model and exploits this model to improve document retrieval. The knowledge model is represented by a network of associations among concepts defining key domain entities and is extracted from a corpus of documents or from a curated domain knowledge base. This knowledge model is then used to perform concept-related probabilistic inferences using link analysis methods and applied to the task of document retrieval. We evaluate this new framework on two biomedical datasets and show that this novel knowledge-based approach outperforms the state-of-art Lemur/Indri document retrieval method.

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Paper citation in several formats:
Wang, S.; Visweswaran, S. and Hauskrecht, M. (2009). DOCUMENT RETRIEVAL USING A PROBABILISTIC KNOWLEDGE MODEL. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR; ISBN 978-989-674-011-5; ISSN 2184-3228, SciTePress, pages 26-33. DOI: 10.5220/0002293400260033

@conference{kdir09,
author={Shuguang Wang. and Shyam Visweswaran. and Milos Hauskrecht.},
title={DOCUMENT RETRIEVAL USING A PROBABILISTIC KNOWLEDGE MODEL},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR},
year={2009},
pages={26-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002293400260033},
isbn={978-989-674-011-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR
TI - DOCUMENT RETRIEVAL USING A PROBABILISTIC KNOWLEDGE MODEL
SN - 978-989-674-011-5
IS - 2184-3228
AU - Wang, S.
AU - Visweswaran, S.
AU - Hauskrecht, M.
PY - 2009
SP - 26
EP - 33
DO - 10.5220/0002293400260033
PB - SciTePress

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