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Titlebook: Data Quality Management with Semantic Technologies; Christian Fürber Book 2016 Springer Fachmedien Wiesbaden 2016 Data Quality Problems.Da

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楼主: foresight
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Comparative and International Educationof meaning by machines”. Ontologies are one of the core elements of semantic solutions. In the following, we review the definition of ontologies and briefly describe their general characteristics. Moreover, we discuss important concepts for ontology and knowledge representation within the Semantic W
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https://doi.org/10.1007/978-1-4615-8936-5 with the evaluation of precision and recall of SDQM’s data quality monitoring and assessment algorithms. The second part evaluates the practical applicability of SDQM by applying the framework to three different use cases, namely one business use case on material master data of a large organization
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https://doi.org/10.1007/978-3-658-12225-6Data Quality Problems; Data Quality Processes; Semantic Web; Semantic Technology; Information Systems
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978-3-658-12224-9Springer Fachmedien Wiesbaden 2016
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