eprintid: 7975
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/79/75
datestamp: 2023-11-09 16:19:49
lastmod: 2023-11-09 16:19:49
status_changed: 2023-11-09 16:10:52
type: article
metadata_visibility: show
creators_name: Hooi, Y.K.
creators_name: Fadzil Hassan, M.
creators_name: Shariff, A.M.
creators_name: Aziz, H.A.
creators_name: Jamal, N.M.
creators_name: Suppiah, S.
title: Analysis of chemical plant process safety information integration model from information system perspective
ispublished: pub
keywords: Chemical plants; Information analysis; Information science; Knowledge based systems, Address access; Knowledge-based model; Multiple sinks; Plant process; Process safety; Safety information; Safety-Related; Work-flows, Chemical analysis
note: cited By 0; Conference of International Conference on Information Science and Applications, ICISA 2016 ; Conference Date: 15 February 2016 Through 18 February 2016; Conference Code:165179
abstract: Information with bearing on process safety can be mined from various work flows of a plant. This information is often found in reports, plant layouts and activity logbooks, which format is not structured. Hence, some information become obscured and tracking changes that compromise process safety become difficult. Whilst there are works to address access to unstructured sources, another following-up challenge is to compose information extracted from various sources meaningfully. This paper proposes a knowledge-based model to integrate safetyrelated information from multiple workflow sources to multiple sinks. The work provides an architectural perspective to improve visibility and interoperability of safety information within a plant environment. © Springer Science+Business Media Singapore 2016.
date: 2016
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959114675&doi=10.1007%2f978-981-10-0557-2_29&partnerID=40&md5=c230e291f139d1b6eefbb68e0bf73403
id_number: 10.1007/978-981-10-0557-2₂₉
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 376
pagerange: 289-298
refereed: TRUE
isbn: 9789811005565
issn: 18761100
citation:   Hooi, Y.K. and Fadzil Hassan, M. and Shariff, A.M. and Aziz, H.A. and Jamal, N.M. and Suppiah, S.  (2016) Analysis of chemical plant process safety information integration model from information system perspective.  Lecture Notes in Electrical Engineering, 376.  pp. 289-298.  ISSN 18761100