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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26749

Title: The role of semantic technologies in diagnostic and decision support for service systems
Authors: Tsalapati, Eleni
Jackson, Thomas
Johnson, William
Jackson, Lisa M.
Vasilyev, Andrey
West, Andrew A.
Mao, Lei
Davies, Ben
Issue Date: 2018
Publisher: University of Hawaii at Manoa © The Authors
Citation: TSALAPATI, E. ... et al, 2018. The role of semantic technologies in diagnostic and decision support for service systems. Hawaii International Conference on System Sciences (HICSS-51), Hawaii, 3rd-6th January 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 enduser 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.
Description: This conference paper is closed access until after the conference has taken place.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26749
Publisher Link: http://hicss.hawaii.edu/
Appears in Collections:Closed Access (Business School)

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