USING ASSOCIATION RULES TO LEARN CONCEPT RELATIONSHIPS IN ONTOLOGIES

Jon Atle Gulla, Terje Brasethvik, Gøran Sveia Kvarv

2008

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.

Paper Citation

in Harvard Style

Atle Gulla J., Brasethvik T. and Sveia Kvarv G. (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

in Bibtex Style

@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},
}

in EndNote Style

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