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Authors: Jon Atle Gulla ; Terje Brasethvik and Gøran Sveia Kvarv

Affiliation: Norwegian University of Science and Technology, Norway

ISBN: 978-989-8111-38-8

Keyword(s): Ontology engineering, text mining, association rules, domain modelling.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Modeling Concepts and Information Integration Tools ; Ontologies and the Semantic Web ; Ontology Engineering ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: Ontology learning is the application of automatic tools to extract ontology concepts and relationships from domain text. Whereas ontology learning tools have been fairly successful in extracting concept candidates, it has proven difficult to detect relationships with the same level of accuracy. This paper discusses the use of association rules to extract relationships in the project management domain. We evaluate the results and compare them to another method based on tf.idf scores and cosine similarities. The findings confirm the usefulness of association rules, but also expose some interesting differences between association rules and cosine similarity methods in ontology relationship learning.

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Paper citation in several formats:
Atle Gulla J.; Brasethvik T.; Sveia Kvarv G. and (2008). USING ASSOCIATION RULES TO LEARN CONCEPT RELATIONSHIPS IN ONTOLOGIES.In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8111-38-8, pages 58-65. DOI: 10.5220/0001686200580065

@conference{iceis08,
author={Jon {Atle Gulla} and Terje Brasethvik and Gøran {Sveia Kvarv}},
title={USING ASSOCIATION RULES TO LEARN CONCEPT RELATIONSHIPS IN ONTOLOGIES},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2008},
pages={58-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001686200580065},
isbn={978-989-8111-38-8},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - USING ASSOCIATION RULES TO LEARN CONCEPT RELATIONSHIPS IN ONTOLOGIES
SN - 978-989-8111-38-8
AU - Atle Gulla, J.
AU - Brasethvik, T.
AU - Sveia Kvarv, G.
PY - 2008
SP - 58
EP - 65
DO - 10.5220/0001686200580065

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