DISCOVERING RELATIONSHIP ASSOCIATIONS FROM THE LITERATURE RELATED TO RESEARCH PROJECTS IN SUSTAINABILITY SCIENCE USING ONTOLOGY AND INFERENCE

Weisen Guo, Steven B. Kraines

Abstract

Research projects addressing issues related to sustainability often need knowledge from research papers from a wide range of disciplines. A method is developed and assessed for using ontology-based inference to automatically discover knowledge in semantic statements of research papers related to specific research projects in sustainability science. The semantic statements have been constructed using a semi-automatic authoring process to represent the knowledge content of the research papers. The discovered knowledge is expressed in the form of relationship associations that are extracted from semantic statements, where relationship associations are transitive associations between two binary semantically typed relationships that share a connecting entity and that co-occur frequently in the set of semantic statements. An algorithm is presented here for finding interesting relationship associations that are extracted from research papers and related to a given research project. The method is evaluated on a set of semantic statements containing 104 semantic statements describing research papers and 24 semantic statements describing research projects.

References

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Paper Citation


in Harvard Style

Guo W. and B. Kraines S. (2011). DISCOVERING RELATIONSHIP ASSOCIATIONS FROM THE LITERATURE RELATED TO RESEARCH PROJECTS IN SUSTAINABILITY SCIENCE USING ONTOLOGY AND INFERENCE . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 382-385. DOI: 10.5220/0003632603900393


in Bibtex Style

@conference{kdir11,
author={Weisen Guo and Steven B. Kraines},
title={DISCOVERING RELATIONSHIP ASSOCIATIONS FROM THE LITERATURE RELATED TO RESEARCH PROJECTS IN SUSTAINABILITY SCIENCE USING ONTOLOGY AND INFERENCE},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={382-385},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003632603900393},
isbn={978-989-8425-79-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - DISCOVERING RELATIONSHIP ASSOCIATIONS FROM THE LITERATURE RELATED TO RESEARCH PROJECTS IN SUSTAINABILITY SCIENCE USING ONTOLOGY AND INFERENCE
SN - 978-989-8425-79-9
AU - Guo W.
AU - B. Kraines S.
PY - 2011
SP - 382
EP - 385
DO - 10.5220/0003632603900393