2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS) 2013
DOI: 10.1109/isads.2013.6513439
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Practical aspects of the use of a Knowledge Fusion Toolkit in safety applications

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Cited by 2 publications
(2 citation statements)
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“…Knowledge fusion is such an effective means of increasing the efficiency of a DSS that many scholars have considered combining a DSS with it. A knowledge fusion toolkit to assist decision-making has been realized using Java Enterprise technology [28] [29]. Regarding procurement fraud detection in Brazil, Rommel et al combined a probabilistic ontology and knowledge fusion (the automated fraud detection system used as the case study is intended to be a DSS) [30], while an inference structure was proposed for diagnostic problem solving incorporating knowledge reuse from knowledge bases covering various domains [31].…”
Section: Knowledge Fusion In a Dssmentioning
confidence: 99%
“…Knowledge fusion is such an effective means of increasing the efficiency of a DSS that many scholars have considered combining a DSS with it. A knowledge fusion toolkit to assist decision-making has been realized using Java Enterprise technology [28] [29]. Regarding procurement fraud detection in Brazil, Rommel et al combined a probabilistic ontology and knowledge fusion (the automated fraud detection system used as the case study is intended to be a DSS) [30], while an inference structure was proposed for diagnostic problem solving incorporating knowledge reuse from knowledge bases covering various domains [31].…”
Section: Knowledge Fusion In a Dssmentioning
confidence: 99%
“…In the context of this work, CEP was extended from temporal event processing to spatiotemporal event processing using a toolkit developed at Fraunhofer FOKUS in the context of EU project IMSK and refined continuously. The building blocks of the ecosystem are called Knowledge Processing Components (KPC) [19] and can be considered as nodes within a distributed system communicating only by asynchronous message passing [20] through a communication layer (requirements 4 and 5). For each activity (in Fig.…”
Section: B Incident Reportsmentioning
confidence: 99%