Enabling Intelligence Analysis through Semantic Information Interoperability

In the current climate of increased necessity for information transparency, the intelligence community (IC) faces challenges in achieving data interoperability. In order to effectively facilitate analysis mechanisms like link discovery and predictive pattern recognition, agencies must enable the dis...

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Bibliographic Details
Published in2005 IEEE Aerospace Conference pp. 1 - 14
Main Authors Maripuri, S., Sokka, T., Medairy, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Advertising
Deductive databases
Humans
Information analysis
Mediation
Pattern analysis
Pattern recognition
Runtime
Service oriented architecture
Web services
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Summary:In the current climate of increased necessity for information transparency, the intelligence community (IC) faces challenges in achieving data interoperability. In order to effectively facilitate analysis mechanisms like link discovery and predictive pattern recognition, agencies must enable the discovery and consumption of disparate and co-located data sources within and across organizational boundaries. Agencies are beginning to leverage semantic descriptions of data to promote the advertising and sharing of data, providing dynamic discovery, fusion, and mediation of information. These techniques will enable the IC to gain greater situational awareness in their mission to preemptively identify and eradicate terrorist threats
ISBN:9780780388703
0780388704
ISSN:1095-323X
2996-2358
DOI:10.1109/AERO.2005.1559620