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

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dc.contributor.authorTsalapati, Eleni
dc.contributor.authorJackson, Tom
dc.contributor.authorJohnson, William
dc.contributor.authorJackson, Lisa
dc.contributor.authorVasilyev , Andrey
dc.contributor.authorWest, Andrew
dc.contributor.authorMao, Lei
dc.contributor.authorDavies, Ben
dc.date.accessioned2017-12-28T00:50:41Z
dc.date.available2017-12-28T00:50:41Z
dc.date.issued2018-01-03
dc.description.abstractIn 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.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.196
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50083
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectService Analytics
dc.subjectDecision Support, Ontology, Real-time data, Semantic modelling
dc.titleThe Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems
dc.typeConference Paper
dc.type.dcmiText

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