In this paper, we propose to first model Context and then link it to existing domain ontologies. In the case, where ontologies are used to design applications ...
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Abstract—Big Data Era brings two main dimensions, which are heterogeneity and contextual data. The heterogeneity may occur at syntax and semantic levels.
This paper proposes to first model Context and then link it to existing domain ontologies, in the case, where ontologies are used to design applications ...
ECOIN results in a simpler context model, which works very well in a domain where it is possible to define a single ontology and to relate it with multiple.
We introduce a principled computational framework and methodology for automated discovery of context-specific functional links between ontologies. Our model ...
In this paper, we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide.
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In this paper, we propose to first model Context and then link it to existing domain ontologies. In the case, where ontologies are used to design applications ...
A 'Context Ontology' is a structured knowledge base that represents contextual information and domain-specific knowledge in the field of IoT services.
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To address this issue, we provide an approach to automatically compose DIPs in a compact manner in order to relieve the decision maker from browsing complex ...
Bibliographic details on Linking Context to Ontologies.