Knowledge Management for Fault-toler Ant Water Distribu Tion
Abstract
This chapter presents and validates environmental decision support systems (EDSSs) where ontologies are utilized to classify failure events and determine appropriate countermeasures to mitigate their effects. It provides an overview of previous related work in EDSSs, agent-based modeling and simulation techniques, knowledge representation capabilities of ontology, and simulation techniques as tools for validation of models for cyber-physical system (CPS). The chapter discusses the major functional components of a generic CPS, the major components of the derivative water distribution network (WDN), and the agent-based model for WDN operation. It also provides a detailed introduction to the class composition of the ontology-based framework. The chapter illustrates the automated failure classification and mitigation. It outlines the object properties for behavior reasoning and the data properties for value reasoning, respectively. Finally, the chapter demonstrates the benefits of the ontology-based framework through a test case on an integrated CPS simulator for WDN.
Recommended Citation
J. Lin et al., "Knowledge Management for Fault-toler Ant Water Distribu Tion," Large Scale Network-Centric Distributed Systems, pp. 649 - 677, Wiley, Jan 2013.
The definitive version is available at https://doi.org/10.1002/9781118640708.ch26
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
Object recognition; Resource management; Semantics
International Standard Book Number (ISBN)
978-111864070-8;978-047093688-7
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Wiley, All rights reserved.
Publication Date
01 Jan 2013