Learn More
In some areas of software engineering research, there are several metamodels claiming to capture the main issues. Though it is profitable to have variety at the beginning of a research field, after some time, the diversity of metamodels becomes an obstacle, for instance to the sharing of results between research groups. To reach consensus and unification of(More)
The contribution of this paper is threefold: It substantially extends Ripple Down Rules, a proven eeective method for building large knowledge bases without a knowledge engineer. Furthermore, we propose to develop highly eeective heuristics searchers for combinatorial problems by a knowledge acquisition approach to acquire human search knowledge. Finally,(More)
(2013). Enhanced ant colony algorithm for cost-aware data-intensive service provision. Abstract Huge collections of data have been created in recent years. Cloud computing has been widely accepted as the nextgeneration solution to addressing data-proliferation problems. Because of the explosion in digital data and the distributed nature of the cloud, as(More)
In the context of creating methodologies for MAS system development using a situational method engineering approach, we focus in this paper on the creation and evaluation of a generic metamodel to serve as a representational infrastructure to unify the work product component of MAS methodologies. The resultant metamodel does not focus on any class of MAS,(More)
We capture student interactions in an e-learning community to construct a semantic web (SW) to create a collective meta-knowledge structure guiding students as they search the existing knowledge corpus. We use formal concept analysis (FCA) as a knowledge acquisition tool to process the students virtual surfing trails to express and exploit the dependencies(More)
Research Online is the open access institutional repository for the University of Wollongong. For further information contact the UOW (2014). Development and validation of a disaster management metamodel (DMM). Abstract Disaster Management (DM) is a diffused area of knowledge. It has many complex features interconnecting the physical and the social views of(More)