Ontop: Answering SPARQL queries over relational databases
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We present Ontop, an open-source Ontology-Based Data Access (OBDA) system that allows for querying relational data sources through a conceptual representation of the domain of interest, provided in terms of an ontology, to which the data sources are mapped. Key features of Ontop are its solid theoretical foundations, a virtual approach to OBDA, which avoids materializing triples and is implemented through the query rewriting technique, extensive optimizations exploiting all elements of the OBDA architecture, its compliance to all relevant W3C recommendations (including SPARQL queries, R2RML mappings, and OWL~2~QL and RDFS ontologies), and its support for all major relational databases.
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Rodriguez-Muro M; Rezk M; Hardi J; Slusnys M; Bagosi T; Calvanese D (CEUR Electronic Workshop Proceedings, 2013)In this paper we evaluate the performance of the SQL queries generated by ontop, a system that uses a formal approach to translate and optimize SPARQL queries and R2RML mappings. We show that the performance of ontop's SQL ...
Calvanese D; Cogrel B; Komla-Ebri S; Lanti D; Rezk M; Xiao G (Springer, 2015)Ontop is an Ontology Based Data Access system allowing users to access a relational database through a conceptual layer provided by an ontology. In this demo, we use the recently developed NPD benchmark (+4~billion triples) ...
Güzel Kalayci E; Brandt S; Calvanese D; Ryzhikov V; Xiao G; Zakharyaschev M (2019)Predictive analysis gradually gains importance in industry. For instance, service engineers at Siemens diagnostic centres unveil hidden knowledge in huge amounts of historical sensor data and use this knowledge to improve ...