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The knowledge requirements of managing emergencies are inherently dynamic and evolving in nature. Existing KM systems in the context of emergency management are essentially static. This paper suggests the use of multi-agent systems for implementation of a more reliable and dynamic emergency planning and response system that can support the evolutionary nature of knowledge in emergencies. To validate...
Managing knowledge is both a challenging and complex task. There is a number techniques for making decisions in today's knowledge-based economies. Decision support systems (DSS) have been developed to aid the decision-making process to find solutions for multiple problems. One aspect that hinders successful decision making is the issue of variability definition. The aim of this paper is to define...
This paper highlights an end-to-end framework and process methodology for developing a consistent knowledge model across enterprises. We demonstrate an improved matching algorithm i.e. the Semantic Relatedness Scores (SRS) and the Semantic Web Rule Language (SWRL) and how they can be coupled together to achieve better reliability and precision in matching heterogeneous data schemas. We introduce a...
Agent ontology systems interact with other agents via automated service discovery to share data and provide services on-the-fly. Resources need to be annotated with meta-data so that they can be correctly discovered and invoked. Ontologies provide shared conceptualization of a domain but it's not easy for everyone to agree on the same ontology for a domain. As such, ontology mapping becomes important...
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