Identifying pairs of terms with strong semantic connections in a textbook index

James Geller; Shmuel T. Klein; Yuriy Polyakov

doi:10.5220/0005615403070315

Identifying pairs of terms with strong semantic connections in a textbook index

James Geller, Shmuel T. Klein, Yuriy Polyakov

Department of Computer Science

New Jersey Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Semantic relationships are important components of ontologies. Specifying these relationships is workintensive 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.

Original language	English
Title of host publication	KEOD
Editors	Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, Joaquim Filipe
Publisher	SciTePress
Pages	307-315
Number of pages	9
ISBN (Electronic)	9789897581588
DOIs	https://doi.org/10.5220/0005615403070315
State	Published - 2015
Event	7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 - Lisbon, Portugal Duration: 12 Nov 2015 → 14 Nov 2015

Publication series

Name	IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Volume	2

Conference

Conference	7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015
Country/Territory	Portugal
City	Lisbon
Period	12/11/15 → 14/11/15

Bibliographical note

Publisher Copyright:
Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Keywords

Ontology
Security Concepts
Semantic Relationships
Semantically Correlated Terms
Textbook Index

Access to Document

10.5220/0005615403070315

Cite this

Geller, J., Klein, S. T., & Polyakov, Y. (2015). Identifying pairs of terms with strong semantic connections in a textbook index. In A. Fred, J. Dietz, D. Aveiro, K. Liu, J. Filipe, & J. Filipe (Eds.), KEOD (pp. 307-315). (IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2). SciTePress. https://doi.org/10.5220/0005615403070315

Geller, James ; Klein, Shmuel T. ; Polyakov, Yuriy. / Identifying pairs of terms with strong semantic connections in a textbook index. KEOD. editor / Ana Fred ; Jan Dietz ; David Aveiro ; Kecheng Liu ; Joaquim Filipe ; Joaquim Filipe. SciTePress, 2015. pp. 307-315 (IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management).

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note = "Publisher Copyright: Copyright {\textcopyright} 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 ; Conference date: 12-11-2015 Through 14-11-2015",

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Geller, J, Klein, ST & Polyakov, Y 2015, Identifying pairs of terms with strong semantic connections in a textbook index. in A Fred, J Dietz, D Aveiro, K Liu, J Filipe & J Filipe (eds), KEOD. IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, vol. 2, SciTePress, pp. 307-315, 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015, Lisbon, Portugal, 12/11/15. https://doi.org/10.5220/0005615403070315

Identifying pairs of terms with strong semantic connections in a textbook index. / Geller, James; Klein, Shmuel T.; Polyakov, Yuriy.
KEOD. ed. / Ana Fred; Jan Dietz; David Aveiro; Kecheng Liu; Joaquim Filipe; Joaquim Filipe. SciTePress, 2015. p. 307-315 (IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Geller J, Klein ST, Polyakov Y. Identifying pairs of terms with strong semantic connections in a textbook index. In Fred A, Dietz J, Aveiro D, Liu K, Filipe J, Filipe J, editors, KEOD. SciTePress. 2015. p. 307-315. (IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management). doi: 10.5220/0005615403070315

Identifying pairs of terms with strong semantic connections in a textbook index

Abstract

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Bibliographical note

Keywords

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