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9.1.1 Semantic Platforms for Cyber‐Physical Systems
Author(s) -
Petnga Leonard,
Austin Mark
Publication year - 2014
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2014.tb03188.x
Subject(s) - computer science , ambiguity , cyber physical system , executable , domain (mathematical analysis) , realization (probability) , dilemma , software engineering , semantic technology , semantic web , artificial intelligence , semantic computing , programming language , mathematical analysis , statistics , mathematics , operating system , philosophy , epistemology
This paper describes the development of semantic platforms to support the modeling, architectural design, realization, and operation of cyber‐physical systems. Platform architectures work directly with formal models of domain knowledge (not just raw data) that are determinate, provable (ambiguity free), executable, and with semantic parameters and rule engines that reason with physical quantities and across domains. These concepts are exercised in a case study application: the “decision‐dilemma problem” for traffic systems.