An ontology-driven decision support system for land delivery in Zambia

被引：21
|
作者：
Abanda, Henry [1 ]
Ng'ombe, Austine [1 ]
Tab, Joseph H. M. [1 ]
Keivani, Ramin [1 ]
机构：
[1] Oxford Brookes Univ, Dept Real Estate & Construct, Oxford OX3 0BP, England
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 09期
关键词：
Ontology; Semantic Web technology; Zambian land delivery; TREE;
D O I：
10.1016/j.eswa.2011.02.130
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Land is increasingly becoming important as the global economic crisis and climate change impacts continue to grow. This is mirrored in Zambia where the management of land has become very critical, prompting urgent government intervention/regulatory measures in the form of land reform. However, lack of efficient communication mechanisms inhibits the success of these efforts as officials are unable to make efficient land delivery decisions. This paper investigates the extent to which Semantic Web technology, an emerging communication technology, can be used in developing decision support systems that can facilitate the Zambian land delivery process. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：10896 / 10905
页数：10
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