ASMaaS: Automatic Semantic Modeling as a Service

2021 IEEE World Congress on Services (SERVICES)(2021)

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摘要
Traditionally the integration of data from multiple sources is done on an ad-hoc basis for each analysis scenario and application. This is an approach that is inflexible, incurs high costs, and leads to “silos” that prevent sharing data across different agencies or tasks. A standard approach to tackling this problem is to design a common ontology and to construct source descriptions which specify ...
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关键词
Training,Costs,Semantics,Training data,Machine learning,Predictive models,Ontologies
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