Temporal Query Answering in a Fuzzy World

Ontologies play a central role in semantic applications: by providing semantics to the given data, they support the integration and automated processing of knowledge. Systems for ontology-based data access do however not take into account both the fuzzy and the temporal nature of the knowledge, which is often inherent in realworld data. In this paper, we propose an approach for temporal query answering over fuzzy data w.r.t. ontologies.

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