Klarman, S2014-04-102014-04-102013-12Klarman, S. 2013. Practical querying of temporal data via OWL 2 QL and SQL: 2011. In: LPAR 19, Stellenbosch, December 2013http://www.cair.za.net/sites/default/files/outputs/KlaLPAR13short.pdfhttp://hdl.handle.net/10204/7320LPAR 19, Stellenbosch, December 2013We develop a practical approach to querying temporal data stored in temporal SQL:2011 databases through the semantic layer of OWL 2 QL ontologies. An interval-based temporal query language (TQL), which we propose for this task, is defined via naturally characterizable combinations of temporal logic with conjunctive queries. This foundation warrants well-defined semantics and formal properties of TQL querying. In particular, we show that under certain mild restrictions the data complexity of query answering remains in AC0, i.e., as in the usual, nontemporal case. On the practical side, TQL is tailored specifically to offer maximum expressivity while preserving the possibility of reusing standard first-order rewriting techniques and tools for OWL 2 QL.enOntology-based data accessOBDAData storageOntologiesConference PresentationKlarman, S. (2013). Practical querying of temporal data via OWL 2 QL and SQL: 2011. Center for Artificial Inteligence Research. http://hdl.handle.net/10204/7320Klarman, S. "Practical querying of temporal data via OWL 2 QL and SQL: 2011." (2013): http://hdl.handle.net/10204/7320Klarman S, Practical querying of temporal data via OWL 2 QL and SQL: 2011; Center for Artificial Inteligence Research; 2013. http://hdl.handle.net/10204/7320 .TY - Conference Presentation AU - Klarman, S AB - We develop a practical approach to querying temporal data stored in temporal SQL:2011 databases through the semantic layer of OWL 2 QL ontologies. An interval-based temporal query language (TQL), which we propose for this task, is defined via naturally characterizable combinations of temporal logic with conjunctive queries. This foundation warrants well-defined semantics and formal properties of TQL querying. In particular, we show that under certain mild restrictions the data complexity of query answering remains in AC0, i.e., as in the usual, nontemporal case. On the practical side, TQL is tailored specifically to offer maximum expressivity while preserving the possibility of reusing standard first-order rewriting techniques and tools for OWL 2 QL. DA - 2013-12 DB - ResearchSpace DP - CSIR KW - Ontology-based data access KW - OBDA KW - Data storage KW - Ontologies LK - https://researchspace.csir.co.za PY - 2013 SM - http://www.cair.za.net/sites/default/files/outputs/KlaLPAR13short.pdf T1 - Practical querying of temporal data via OWL 2 QL and SQL: 2011 TI - Practical querying of temporal data via OWL 2 QL and SQL: 2011 UR - http://hdl.handle.net/10204/7320 ER -