Abstract
We consider the problem of answering temporal queries on RDF stores, in the presence of time-agnostic RDFS domain ontologies, of relational data sources that include temporal information, and of rules that map the domain information in the source into the target ontology. Our proposed solution consists of two rule-based domain-independent algorithms. The first algorithm materializes target RDF data via a version of data exchange that enriches the data and the ontology with temporal information from the sources. The second algorithm accepts as inputs temporal queries expressed in terms of the domain ontology, using SPARQL supplemented with time annotations. The algorithm translates the queries into the standard SPARQL form that respects the structure of the temporal RDF information while preserving the question semantics. We present the algorithms, report on their implementation and experimental results for two application domains, and discuss future.
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