CALCULATING SEMANTIC SIMILARITY BETWEEN COMPUTER-UNDERSTANDABLE DESCRIPTORS OF SCIENTIFIC RESEARCH

Steven B. Kraines, Weisen Guo

2011

Abstract

If researchers created computer-understandable descriptors as part of the process of authoring journal articles and other expert knowledge resources, intelligent computer-aided matching and searching applications that are critical for addressing complex and large-scale problems in society could be realized. The EKOSS system enables knowledge experts to create computer-understandable descriptors of their knowledge resources using description logics ontologies as formal knowledge representation languages. The descriptors, called semantic statements, are authored as description logic ABoxes in reference to a shared domain ontology in the form of a TBox. Reasoners using logic-based inference can then measure the semantic similarity between semantic statements, which can be applied in knowledge searching, mining and integration applications. A method for semantic matching that uses logic inference based on a DL ontology TBox to increase both the precision and recall of matching descriptors created as ABoxes is described, and the accuracy of the method compared to matching without logic inference is analyzed between a set of 15 semantic statements created using EKOSS to describe research articles related to sustainability science.

Paper Citation

in Harvard Style

B. Kraines S. and Guo W. (2011). CALCULATING SEMANTIC SIMILARITY BETWEEN COMPUTER-UNDERSTANDABLE DESCRIPTORS OF SCIENTIFIC RESEARCH . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011) ISBN 978-989-8425-81-2, pages 146-151. DOI: 10.5220/0003637001460151

in Bibtex Style

@conference{kmis11,
author={Steven B. Kraines and Weisen Guo},
title={CALCULATING SEMANTIC SIMILARITY BETWEEN COMPUTER-UNDERSTANDABLE DESCRIPTORS OF SCIENTIFIC RESEARCH},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)},
year={2011},
pages={146-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003637001460151},
isbn={978-989-8425-81-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)
TI - CALCULATING SEMANTIC SIMILARITY BETWEEN COMPUTER-UNDERSTANDABLE DESCRIPTORS OF SCIENTIFIC RESEARCH
SN - 978-989-8425-81-2
AU - B. Kraines S.
AU - Guo W.
PY - 2011
SP - 146
EP - 151
DO - 10.5220/0003637001460151