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.
%0 Conference Paper
%1 oezcep14streamKI
%A Özcep, Özgür L.
%A Möller, Ralf
%A Neuenstadt, Christian
%B KI 2014
%D 2014
%E Lutz, Carsten
%E Thielscher, Michael
%I Springer International Publishing Switzerland
%K OBDA myown optique-project
%P 183--194
%R 10.1007/978-3-319-11206-0_18
%T A Stream-Temporal Query Language for Ontology Based Data Access
%V 8736
%X 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.
@inproceedings{oezcep14streamKI,
abstract = {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.},
added-at = {2014-10-14T13:07:21.000+0200},
audience = {academic},
author = {Özcep, Özgür L. and Möller, Ralf and Neuenstadt, Christian},
biburl = {https://www.bibsonomy.org/bibtex/2a9bf100030d75eed83e67b4f2ae5d875/oezcep},
booktitle = {KI 2014},
doi = {10.1007/978-3-319-11206-0_18},
editor = {Lutz, Carsten and Thielscher, Michael},
interhash = {bc3eae62d370be557050a5208d0d9f93},
intrahash = {a9bf100030d75eed83e67b4f2ae5d875},
keywords = {OBDA myown optique-project},
openaccess = {No},
pages = {183--194},
partneroptique = {TUHH},
publisher = {Springer International Publishing Switzerland},
series = {LNCS},
timestamp = {2016-12-08T10:57:57.000+0100},
title = {A Stream-Temporal Query Language for Ontology Based Data Access},
volume = 8736,
wpoptique = {WP5},
year = 2014,
yearoptique = {Y2}
}