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Authors: James Geller 1 ; Shmuel T. Klein 2 and Yuriy Polyakov 1

Affiliations: 1 NJIT, United States ; 2 Bar Ilan University, Israel

ISBN: 978-989-758-158-8

Keyword(s): Ontology, Semantic Relationships, Textbook Index, Security Concepts, Semantically Correlated Terms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Symbolic Systems

Abstract: Semantic relationships are important components of ontologies. Specifying these relationships is work-intensive and error-prone when done by experts. Discovering domain concepts and strongly related pairs of concepts in a completely automated way from English text is an unresolved problem. This paper uses index terms from a textbook as domain concepts and suggests pairs of concepts that are likely to be connected by strong semantic relationships. Two textbooks on Cyber Security were used as testbeds. To show the generality of the approach, the index terms from one of the books were used to generate suggestions for where to place semantic relationships using the bodies of both textbooks. A good overlap was found.

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Paper citation in several formats:
Geller, J.; Klein, S. and Polyakov, Y. (2015). Identifying Pairs of Terms with Strong Semantic Connections in a Textbook Index.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 307-315. DOI: 10.5220/0005615403070315

@conference{keod15,
author={James Geller. and Shmuel T. Klein. and Yuriy Polyakov.},
title={Identifying Pairs of Terms with Strong Semantic Connections in a Textbook Index},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={307-315},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005615403070315},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - Identifying Pairs of Terms with Strong Semantic Connections in a Textbook Index
SN - 978-989-758-158-8
AU - Geller, J.
AU - Klein, S.
AU - Polyakov, Y.
PY - 2015
SP - 307
EP - 315
DO - 10.5220/0005615403070315

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