IV. KNOWLEDGE REUSE
It is generally accepted that building ontology from scratch
is a resource intensive process. Manually development of new
ontologies are limited to the experts’ knowledge, hence, it
cannot tap the full potential of existing domain-relevant
knowledge sources [19]. Similarly, automatic ontology
development based on techniques such as data mining and
abstractions are relying on the collected resources’ coverage,
completeness and accuracy. As such, knowledge reuse is a
considerable way to assist the construction of cost-effective
and high-quality ontologies. This paper adopts domain
ontologies as the reusable knowledge particularly. On one hand,it is because the format of the proposed knowledge base in the
ideas creation framework is ontology (refers to Section ). On
the other hand, as a well-defined structure for knowledge
representation, ontology has the ability to be merged and
optimised automatically based on designed rules, hence, to be
reused effectively by the system. This paper explores the
potential of ideas creation from a research perspective. For this
purpose, the reusable ontologies are divided into the following
two categories,