Coastal data and information comprise a massive and complex resource, which is vital
to the practice of Integrated Coastal Zone Management (ICZM), an increasingly
important application. ICZM is just as complex, but uses the holistic paradigm to deal
with the sophistication. The application domain and its resource require a tool of
matching characteristics, which is facilitated by the current wide availability of high
performance computing.
An object-oriented expert system, COAMES, has been constructed to prove this
concept. The application of expert systems to ICZM in particular has been flagged as
a viable challenge and yet very few have taken it up. COAMES uses the Dempster-
Shafer theory of evidence to reason with uncertainty and importantly introduces the
power of ignorance and integration to model the holistic approach. In addition, object
orientation enables a modular approach, embodied in the inference engine -
knowledge base separation. Two case studies have been developed to test COAMES.
In both case studies, knowledge has been successfully used to drive data and actions
using metadata. Thus a holism of data, information and knowledge has been achieved.
Also, a technological holism has been proved through the effective classification of
landforms on the rapidly eroding Holderness coast. A holism across disciplines and
CZM institutions has been effected by intelligent metadata management of a Fal
Estuary dataset. Finally, the differing spatial and temporal scales that the two case
studies operate at implicitly demonstrate a holism of scale, though explicit means of
managing scale were suggested. In all cases the same knowledge structure was used to
effectively manage and disseminate coastal data, information and knowledge.
Date of Award | 2001 |
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Original language | English |
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Awarding Institution | |
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THE DEVELOPMENT OF A HOLISTIC EXPERT SYSTEM FOR INTEGRATED COASTAL ZONE MANAGEMENT
MOORE, A. B. (Author). 2001
Student thesis: PhD