Please use this identifier to cite or link to this item:

Title: An Adverse Event Reporting and Learning System for Water Sector Based on an Extension of the Eindhoven Classification Model
Authors: Vicente, Henrique
Borralho, Fábio
Couto, Catarina
Gomes, Guida
Alves, Victor
Neves, José
Keywords: Water Industry
Eindhoven Classification Model
Knowledge Representation and Reasoning
Logic Programming
Quality of Information
Issue Date: 2015
Publisher: Springer Netherlands
Citation: Vicente, H., Borralho, F., Couto, C., Gomes, G., Alves, V. & Neves, J., An Adverse Event Reporting and Learning System for Water Sector based on an Extension of the Eindhoven Classification Model. Water Resources Management, 29 (14): 4927–4943, 2015.
Abstract: The International Water Association and the World Health Organization has promoted, worldwide, the implementation of Water Safety Plans (WSPs) to ensure, consistently and systematically the water quality for human consumption. In order to complement and potentiate the WSPs, this work presents an adverse event reporting and learning system that may help to prevent hazards and risks. The proposed framework will allow for automatic knowledge extraction and report generation, in order to identify the most relevant causes of error. It will cater for the delineation of advance strategies to problem accomplishment, concluding about the impact, place of occurrence, form or type of event recorded with respect to the entities that operate in the water sector. To respond to this challenge the Eindhoven Classification Model was extended and adapted to the water industry, and used to classify the root causes of adverse events. Logic programming was used as a knowledge representation and reasoning mechanism, allowing one to model the universe of discourse in terms of defective data, information and knowledge, and its embedded quality, that enables a direct study of the event'sroot causes. Other approaches to address specific issues of water industry, presented in literature, do not consider the problem from a perspective of having to deal with incomplete, unknown, contradictory or even forbidden data, information or knowledge, and their conclusions are not object of a formal proof. Here it is not only presented a solution to the problem, but also a proof that the solution(s) is (are) the only one(s).
ISBN: 0920-4741 (Print)
1573-1650 (Electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2015_WARM_2015_RD.pdf454.91 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois