Rachuri, S.
(2007),
Science based Information Metrology for Engineering Informatics, PerMIS '07, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822745
(Accessed April 19, 2024)
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Science based Information Metrology for Engineering Informatics
Published
Author(s)
Abstract
Engineering informatics is the discipline of creating, codifying (structure and behavior that is syntax and semantics), exchanging (interactions and sharing), processing (decision making), storing and retrieving (archive and access) the digital objects that characterize the cross-disciplinary domains of engineering discourse. It is absolutely critical that a sharing mechanism should preserve correctness (semantics), be efficient (for example, representation, storage and retrieval, interface), inexpensive (for example, resources, cost, time), and secure. In order to create such a sharing mechanism, we need a science-based approach for understanding significant relationships among the concepts and consistent standards, measurements, and specifications. To develop this science, it is essential to understand the interactions among the theory of languages, representation theory, and domain theory. Creating the science of information metrology will require a fundamental and formal approach to metrology, measurement methods and testing and validation similar to the physical sciences.Proceedings Title
PerMIS '07
Conference Dates
March 6-15, 2007
Conference Location
Gaithersburg, MD
Pub Type
Conferences
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Keywords
Engineering informatics, interoperability, metrics, product lifecycle, semantics, standards
Citation
Created September 1, 2007, Updated February 19, 2017