The role of semantic technologies in diagnostic and decision support for service systems
conference contributionposted on 2017-09-29, 10:17 authored by Eleni Tsalapati, Tom JacksonTom Jackson, William Johnson, Lisa JacksonLisa Jackson, Andrey Vasilyev, Andrew WestAndrew West, Lei Mao, Benjamin Davies
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.
- Business and Economics
Published inHawaii International Conference on System Sciences
CitationTSALAPATI, E. ... et al, 2018. The role of semantic technologies in diagnostic and decision support for service systems. Presented at the Hawaii International Conference on System Sciences (HICSS-51), Hawaii, 3rd-6th January 2018.
PublisherUniversity of Hawaii at Manoa © The Authors
- AM (Accepted Manuscript)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is a conference paper.