Abstract
The temporal dimension of data, which contains such important information as duration or sequence of events and is present in many applications of ontology-based data access (OBDA) concerned with logs or streams, is getting growing attention in the community. To give a proper treatment to the events occurring in the data from the ontological perspective, we assume in our approach that every concept is temporalized, i.e., has temporal validity time, and the ontology language expresses the constraints between validity times of concepts. In this paper we outline the state of art and the future challenges of our research. On the theoretical side, we are interested in enriching the ontology languages with the operators for constructing the temporal concepts that are expressive enough to capture the patterns required by industrial use-cases. On the practical side, we are interested in implementing the ontology-mediated query answering with temporalized concepts in the OBDA system Ontop and performing extensive evaluations using large amounts of real-world data.
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This paper is supported by the EU under the large-scale integrating project (IP) Optique (Scalable End-user Access to Big Data), grant agreement n. FP7-318338.
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Calvanese, D., Kalaycı, E.G., Ryzhikov, V., Xiao, G. (2016). Towards Practical OBDA with Temporal Ontologies. In: Ortiz, M., Schlobach, S. (eds) Web Reasoning and Rule Systems. RR 2016. Lecture Notes in Computer Science(), vol 9898. Springer, Cham. https://doi.org/10.1007/978-3-319-45276-0_2
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