Semantic Association Identification and Knowledge Discovery for National Security Applications

TitleSemantic Association Identification and Knowledge Discovery for National Security Applications
Publication TypeJournal Article
Year of Publication2005
AuthorsAmit Sheth, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Chris Halaschek, Cartic Ramakrishnan, Clemns Bertram, Yashodhan Warke, David Avant, F. S. Arpinar, Kemafor Anyanwu, Krys Kochut
JournalJournal of Database Management, Special Issue: Database Technology for Enhancing National Security
Volume16
Issue1
Pagination33-53
Date Published01/2005
PublisherIGI Global
Keywordsaviation security, content analytics, Knowledge Discovery, passenger threat assessment, SCORE, Semagix Freedom, Semantic Analytics, semantic applications for national security, Semantic Association, Semantic Metadata
Abstract

Public and private organizations have access to vast amount of internal, deep Web and open Web information. Transforming this heterogeneous and distributed information into actionable and insightful information is the key to the emerging new class of business intelligence and national security applications. Although role of semantics in search and integration has been often talked about, in this paper we discussed semantic approaches to support analytics on vast amount of heterogeneous data. In particular, we bring together novel academic research and commercialized Semantic Web technology. The academic research related to semantic association identification, is built upon commercial Semantic Web technology for semantic metadata extraction. A prototypical demonstration of this research and technology is presented in the context of an aviation security application of significance to national security.

DOI10.4018/jdm.2005010103
Full Text

A. Sheth, B. Aleman-Meza, I. B. Arpinar, C. Halaschek, C. Ramakrishnan, C. Bertram, Y. Warke, K. Anyanwu, D. Avant, F. S. Arpinar, and K. Kochut. Semantic Association Identification and Knowledge Discovery for National Security Applications. Database Technology for Enhancing National Security Special Issue, L. Zhou;W. Kim (Eds.). Journal of Database Management, 16 (1), January 2005, pp. 33-53.

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