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The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems

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Title:The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems
Authors:Tsalapati, Eleni
Jackson, Tom
Johnson, William
Jackson, Lisa
Vasilyev , Andrey
show 3 moreWest, Andrew
Mao, Lei
Davies, Ben
show less
Keywords:Service Analytics
Decision Support, Ontology, Real-time data, Semantic modelling
Date Issued:03 Jan 2018
Abstract:In this research, we utilize semantic technology for robust early diagnosis and decision support. We present a light-weight platform that provides the end-user with direct access to the data through an ontology, and enables detection of any forthcoming faults by considering the data only from the reliable sensors. Concurrently, it indicates the actual sources of the detected faults, enabling mitigation action to be taken. Our work is focused on systems that require only real-time data and a restricted part of the historic data, such as fuel cell stack systems. First, we present an upper-level ontology that captures the semantics of such monitored systems and then we present the structure of the platform. Next, we specialize on the fuel cell paradigm and we provide a detailed description of our platform’s functionality that can aid future servicing problem reporting applications.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50083
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.196
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Service Analytics


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