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Ontologies have been frequently employed in order to solve problems derived from the management of shared distributed knowledge and the efficient integration of information across different applications. However, the process of ontology building is still a lengthy and error-prone task. Therefore, a number of research studies to (semi-)automatically build ontologies from existing documents have been...
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...
Automotive body assembly design in conceptual design stage is a complex group decision-making process which involves knowledge communications and projects selections. Ontology is a useful tool to abstract vague and linguistic knowledge. In this paper, a project-handling module based decision-making ontology model (PMDOM) is proposed to accelerate communication of decision-making and help for the selection...
The integrative approach of systems biology promises a better understanding of complex phenotypes such as cardiovascular disease, diabetes or chronic obstructive pulmonary disease (COPD). It aims to interconnect current knowledge with experimental data, in-silico analysis and simulation. To this end the existing knowledge must be semantically integrated in a single environment and dynamically organised...
A process-driven content-oriented integration framework is proposed for knowledge management systems and enterprise content management applications to perform effective content based integration in service-oriented computing environment. The framework consists of workflow engine, OSGi framework based kernel, content repository for Java technology API compliant content repository, enterprise service...
In this paper, based on ontology, a kind of system architecture is proposed to generate learning resource dynamically with learning goal, which is called LRDG. At the meantime, a semantic model and related processing methods are designed. The semantic model consists of knowledge object ontology, learning material ontology, learning action ontology and instructional strategy rule format. Processing...
Knowledge management is important for the knowledge storage and organization. Otherwise information about new product development can be dispersed or lost, thus, finding efficient manners to store knowledge in order to be able to search for it and retrieve it is necessary. Ontology is a good solution for the structuring of information and knowledge and especially in specific cases as communities of...
Ontologies are increasingly used in many domains, such as knowledge management, information extraction, the semantic Web and so on. More and more ontologies have been published on the Web, with different scope and quality. Ontology evaluation has been proposed as one strategy for quality assurance of ontologies. In this paper, we propose a democratic ranking system analogous to that used by Amazon...
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