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Framework of Knowledge and Intelligence Base: From Intelligence to Service

Framework of Knowledge and Intelligence Base: From Intelligence to Service

Marc Rabaey, Roger Mercken
Copyright: © 2013 |Pages: 29
ISBN13: 9781466624559|ISBN10: 1466624558|EISBN13: 9781466624566
DOI: 10.4018/978-1-4666-2455-9.ch023
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MLA

Rabaey, Marc, and Roger Mercken. "Framework of Knowledge and Intelligence Base: From Intelligence to Service." Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2013, pp. 474-502. https://doi.org/10.4018/978-1-4666-2455-9.ch023

APA

Rabaey, M. & Mercken, R. (2013). Framework of Knowledge and Intelligence Base: From Intelligence to Service. In I. Management Association (Ed.), Data Mining: Concepts, Methodologies, Tools, and Applications (pp. 474-502). IGI Global. https://doi.org/10.4018/978-1-4666-2455-9.ch023

Chicago

Rabaey, Marc, and Roger Mercken. "Framework of Knowledge and Intelligence Base: From Intelligence to Service." In Data Mining: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 474-502. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-2455-9.ch023

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Abstract

This chapter introduces the concept of the “Intelligence Base,” developed in a study on the information requirement of the management of an (military) organization. The purpose of the study was to conceive, for each level of an organization, an appropriate Decision Support System (DSS) and/or Knowledge and Information System. All systems would eventually have been integrated in an overall Enterprise Architecture (EA). By discussing the OODA-cycle of John Boyd and the Naturalistic Decision Making (NDM) the authors show that the concept of Intelligence Base can be a DSS for very demanding environments. Related topics are knowledge, culture, and real options (business example). The proposed framework is based on Service-Oriented Architecture (SOA) and Cloud Computing, which will determine the configuration of the Information Technology (IT) systems.

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