Please use this identifier to cite or link to this item:
http://hdl.handle.net/10125/50083
The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems
File | Size | Format | ||
---|---|---|---|---|
paper0196.pdf | 734.22 kB | Adobe PDF | View/Open |
Item Summary
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: | 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 |
Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.
This item is licensed under a Creative Commons License