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Authors: Weisen Guo and Steven B. Kraines

Affiliation: The University of Tokyo, Japan

ISBN: 978-989-674-011-5

Keyword(s): Relationship Associations, Association Rules, Semantic Relationships, Semantic Matching, Semantic Web, Ontology, Logical Inference, Life Sciences, Literature-based Knowledge Discovery

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; BioInformatics & Pattern Discovery ; Foundations of Knowledge Discovery in Databases ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: Over one million papers are published annually in life sciences. Bioinformatics and knowledge discovery fields aim to help researchers conduct scientific discovery using the existing published knowledge. Existing literature-based discovery methods and tools mainly use text-mining techniques to extract non-specified relationships between two concepts. We present an approach that uses semantic web techniques to measure the relevance between two relationships with specified types that involve a particular entity. We consider two highly relevant relationships as a relationship association. Relationship associations could help researchers generate scientific hypotheses or create computer-interpretable semantic descriptors for their papers. The relationship association extraction process is described and the results of experiments for extracting relationship associations from 392 semantic graphs representing MEDLINE papers are presented

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Paper citation in several formats:
Guo W.; Kraines S. and (2009). DISCOVERING RELATIONSHIP ASSOCIATIONS IN LIFE SCIENCES USING ONTOLOGY AND INFERENCE.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 10-17. DOI: 10.5220/0002285300100017

@conference{kdir09,
author={Weisen Guo and Steven B. Kraines},
title={DISCOVERING RELATIONSHIP ASSOCIATIONS IN LIFE SCIENCES USING ONTOLOGY AND INFERENCE},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={10-17},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002285300100017},
isbn={978-989-674-011-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - DISCOVERING RELATIONSHIP ASSOCIATIONS IN LIFE SCIENCES USING ONTOLOGY AND INFERENCE
SN - 978-989-674-011-5
AU - Guo, W.
AU - Kraines, S.
PY - 2009
SP - 10
EP - 17
DO - 10.5220/0002285300100017

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