Download PDF by Keng Siau, John Erickson: Advanced Principles for Improving Database Design, Systems

By Keng Siau, John Erickson

ISBN-10: 1605661724

ISBN-13: 9781605661728

ISBN-10: 1605661732

ISBN-13: 9781605661735

Fresh years have witnessed great leaps within the energy of database applied sciences, making a new point of strength to improve complicated purposes that upload worth at remarkable degrees in all parts of knowledge administration and usage. Parallel to this evolution is a necessity within the academia and for authoritative references to the learn during this zone, to set up a accomplished wisdom base that might permit the data expertise and managerial groups to gain greatest merits from those techniques.

Advanced rules for making improvements to Database layout, platforms Modeling, and software program improvement offers state-of-the-art examine and research of the latest developments within the fields of database structures and software program improvement. This ebook offers academicians, researchers, and database practitioners with an exhaustive number of reports that, jointly, characterize the kingdom of data within the box.

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Extra resources for Advanced Principles for Improving Database Design, Systems Modeling, and Software Development

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However most measurement ontologies concentrate on representing units of measurement and quantities, and not on other measurement concepts such as sampling, mean values, and evaluations of quality based on measurements. In this paper, we elaborate on a measurement ontology that represents all these concepts. We present the generality of the ontology, and describe how it is developed, used for analysis and validated. Copyright © 2009, IGI Global, distributing in print or electronic forms without written permission of IGI Global is prohibited.

Communications of the ACM, 47(2), 69-75. , & Ramesh, R. (Forthcoming). Enterprise integration using the agent paradigm: foundations of multiagent-based integrative business information systems. Decision Support Systems. Lin, F. , Tan, G. , & Shaw, M. J. (1999). Multiagent enterprise modeling. Journal of Organizational Computing and Electronic Commerce, 9(1), 7-32. Milton, K. , & Kazmierczak, E. (2004). An ontology of data modelling languages: A study using a common-sense realistic ontology. Journal of Database Management, 15(2), 19-38.

Activities can be hierarchically modeled as comprised of subactivities ; a primitive activity has no sub-activities. Core-12 can be 29 A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web Example 13. Cons-1 A measured attribute must be an attribute of a tru. Cons-2 measured attribute must be sampled from an attribute of a re- source ∀At∀s [ holds(measured_attribute(At),s) → ∃Atr∃R ( holds(samples_attribute(Atr,At),s) ∧ holds(has_attribute(R,Atr),s) ∧ holds(resource(R),s) ) ].

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Advanced Principles for Improving Database Design, Systems Modeling, and Software Development by Keng Siau, John Erickson


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