scholarly journals Practical Querying of Temporal Data via OWL 2 QL and SQL:2011

10.29007/rlv9 ◽  
2018 ◽  
Author(s):  
Szymon Klarman

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 AC$^0$, 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.

10.29007/2df8 ◽  
2018 ◽  
Author(s):  
Stefan Borgwardt ◽  
Veronika Thost

Ontology-based query answering augments classical query answering in databases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We investigate temporal query answering w.r.t. ontologies formulated in DL-Lite, a family of description logics that captures the conceptual features of relational databases and was tailored for efficient query answering. We consider a recently proposed temporal query language that combines conjunctive queries with the operators of propositional linear temporal logic (LTL). In particular, we consider negation in the ontology and query language, and study both data and combined complexity of query entailment.


1990 ◽  
Vol 15 (3) ◽  
pp. 349-357 ◽  
Author(s):  
Jinho Kim ◽  
Hodong Yoo ◽  
Yoonjoon Lee

1987 ◽  
Vol 12 (2) ◽  
pp. 247-298 ◽  
Author(s):  
Richard Snodgrass

1994 ◽  
Vol 23 (3) ◽  
pp. 34 ◽  
Author(s):  
Richard Thomas Snodgrass ◽  
Ilsoo Ahn ◽  
Gad Ariav ◽  
Don Batory ◽  
James Clifford ◽  
...  

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