Towards an Enhanced Knowledge-Based Decision Support System (DSS) for Integrated Water Resource Management (IWRM)

被引：17
|
作者：
Anzaldi, G. [1 ]
Rubion, E. [1 ]
Corchero, A. [1 ]
Sanfeliu, R. [1 ]
Domingo, X. [1 ]
Pijuan, J. [1 ]
Tersa, F. [1 ]
机构：
[1] Barcelona Digital Technol Ctr, Roc Boronat St 117 5th Floor, Barcelona 08018, Spain
来源：
16TH WATER DISTRIBUTION SYSTEM ANALYSIS CONFERENCE (WDSA2014): URBAN WATER HYDROINFORMATICS AND STRATEGIC PLANNING | 2014年 / 89卷
关键词：
Knowledge Base; Decision Support System; Rule-Based Reasoning; Case-Based reasoning; Water Management Ontology; Intelligent System;
D O I：
10.1016/j.proeng.2014.11.230
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Currently, management tools are designed to solve specific water issues, they cannot interoperate and are losing decisional dependencies along the water supply distribution chain. This article reports a DSS, which uses decisional knowledge to improve daily operations. A specially designed Water Management Ontology (WMO) is used to encompass the water cycle from water management perspective and combined with two inference engines which provide recommendations to the water manager. This knowledge characterization permits to semantically represent human and natural paths interactions in order to discover hidden knowledge, hence founding new IWRM strategies to improve resource management and energy efficiency. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：1097 / 1104
页数：8
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