A stream-temporal query language for ontology based data access

Publikationstyp
Conference Paper
Date Issued
2014
Sprache
English
Author(s)
Özçep, Özgür Lütfü  
Möller, Ralf  
Neuenstadt, Christian  
Institut
Softwaresysteme E-16  
TORE-URI
http://hdl.handle.net/11420/9892
First published in
Lecture notes in computer science  
Number in series
8736 LNCS
Start Page
183
End Page
194
Citation
37th Annual German Conference on AI (2014)
Contribution to Conference
37th Annual German Conference on AI, 2014  
Publisher DOI
10.1007/978-3-319-11206-0_18
Scopus ID
2-s2.0-84921836463
Publisher
Springer
The paper contributes to the recent efforts on temporalizing and streamifiying ontology based data access (OBDA) by discussing aspects of rewritability, i.e., compilability of the TBox into ontology-level queries, and unfoldability, i.e., transformability of ontology-level queries to queries on datasource level, for the new query-language framework STARQL. The distinguishing feature of STARQL is its general stream windowing and ABox sequencing strategy which allows it to plugin well-known query languages such as unions of conjunctive queries (UCQs) in combination with TBox languages such as DL-Lite and do temporal reasoning with a sorted first-order logic on top of them. The paper discusses safety aspects under which STARQL queries that embed UCQs over DL-Lite ontologies can be rewritten and unfolded to back-end relational stream query languages such as CQL. With these results, the adoption of description logic technology in industrially relevant application areas such as industrial monitoring is crucially fostered.
Subjects
Monitoring
OBDA
Safety
Streams
Unfolding
DDC Class
004: Informatik