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management frameworks provide inadequate support for replicating an ontology within the
public domain and detecting when a public domain ontology has been tampered with. In
addition, weaknesses of existing ontology management systems include vulnerability to
malicious ontology authors, little consideration for intellectual property rights, and lack of
support for ontology versioning.
2.1.6 Specific research objectives
In view of the five weaknesses discussed above, the overall objective of our research work is
to construct a suite of software tools for modeling, visualizing and managing knowledge.
The tools are designed so that they: (1) are derived from a theoretical basis of a knowledge
modeling technique, (2) can sufficiently express the diverse types of knowledge required to
model an ontology of an industrial domain, which include both static and dynamic
knowledge, (3) can support visualization of both static and dynamic knowledge, (4) can
support ontology management, and (5) can support testing of the developed knowledge
model. In this chapter, the tools of Onto3DViz and Distributed Framework for Knowledge
Evolution (DFKE) (Obst, 2006) are discussed which present new approaches for supporting
ontology visualization and management. Dyna is a tool that has been developed for tackling
dynamic knowledge modeling and ontology testing, and it is presented in detail in
(Harrison & Chan, 2009). The two tools that will be discussed here have been developed
based on the knowledge modeling method of Inferential Modeling Technique (IMT). Since
the tools are based on the weak theory provided by the IMT, this knowledge modeling
technique is presented next.
2.2 Inferential modeling technique
The Inferential Modeling Technique is a knowledge engineering method that supports
developing a domain ontology consisting of both static and dynamic knowledge of the
problem domain. Static knowledge consists of concepts, attributes, individuals and the
relationships among them; dynamic knowledge includes objectives, tasks, and relationships
among objectives and tasks. Static and dynamic knowledge are intertwined in that a task is a
process that manipulates static knowledge to achieve an objective. The details of this
modeling technique can be found in (Chan, 2004).
3. Conclusion design and implementation of the tools
The two tools that were designed and developed to address the weaknesses of ontology
visualization and management include Onto3DViz and DFKE (Obst, 2006). Onto3DViz is an
ontology visualization tool developed based on the IMT, which supports visualization of
both static and dynamic knowledge models. Onto3DViz also supports knowledge sharing
and re-use, by requiring ontology documents represented in OWL and XML as the input.
DFKE is an ontology management tool which incorporates a monotonic versioning system
with a peer-to-peer distributed knowledge management system. This tool was designed and
a prototype of the system was developed.
3.1 Design of Onto3DViz
Onto3DViz can be seen as an extension of Dyna (Harrison & Chan, 2009) developed at the
Energy Informatics Laboratory. Dyna is a dynamic knowledge modeler developed based on
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