City University of Hong Kong

CityU Institutional Repository >
3_CityU Electronic Theses and Dissertations >
ETD - Dept. of Information Systems  >
IS - Doctor of Philosophy  >

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

Title: An ontology-based approach to management of model knowledge
Other Titles: Ji yu ben ti lun de mo xing zhi shi de guan li
Authors: Liu, Ou (劉鷗)
Department: Dept. of Information Systems
Degree: Doctor of Philosophy
Issue Date: 2006
Publisher: City University of Hong Kong
Subjects: Decision making
Decision support systems
Notes: CityU Call Number: T58.62.L58 2006
Includes bibliographical references (leaves 107-118)
Thesis (Ph.D.)--City University of Hong Kong, 2006
vi, 118 leaves : ill. ; 30 cm.
Type: Thesis
Abstract: Decision models are important resources in Decision Support Systems (DSSs). Several methods have been proposed to facilitate the management of model knowledge. However, they can hardly support the sharing and reuse of the model knowledge in a collaborative decision-making environment. Also, current methods do not consider vague and imprecise information which is commonly found in model management of DSSs. There is a need for a formal and semantically rich specification of model knowledge supporting vague information, which is useful to enhance the sharability and reusability of model knowledge. The emergences of new Internet technologies such as Web services and XML-based documentation, and the evolution of artificial intelligence such as ontology engineering, also create new opportunities in model management. In this thesis, an ontology-based approach to the management of model knowledge is proposed, where decision ontology is designed to represent the model knowledge. A fuzzy description logic is defined for formal and semantically rich specification of decision ontology. Then an XML-based language (DOML: Decision Ontology Markup Language) is designed to represent the decision ontology and make it interchangeable over the Internet. A Web service-based implementation architecture is also proposed for implementation of a practicable model management system. The architecture makes it possible for any program to connect and access the models in a standard way. The applicability of the proposed methods and theories is illustrated by a practical model management application in Mainland China. Keywords: Model Knowledge, Model Management, Ontology, Fuzzy Description Logic, XML, Web Services
Online Catalog Link:
Appears in Collections:IS - Doctor of Philosophy

Files in This Item:

File Description SizeFormat
fulltext.html157 BHTMLView/Open
abstract.html157 BHTMLView/Open

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


Valid XHTML 1.0!
DSpace Software © 2013 CityU Library - Send feedback to Library Systems
Privacy Policy · Copyright · Disclaimer