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 oezcep14streamDL
%A Özgür L. Özcep,
%A Möller, Ralf
%A Neuenstadt, Christian
%B Proceedings of the 7th International Workshop on Description Logics (DL-2014)
%D 2014
%E Bienvenu, Meghyn
%E Ortiz, Magdalena
%E Rosati, Riccardo
%E Simkus, Mantas
%K OBDA optique-project
%T A Stream-Temporal Query Language for Ontology Based Data Access
%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{oezcep14streamDL,
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 = {2014-10-14T13:11:15.000+0200},
audience = {academic},
author = {{\"Ozg\"ur L. \"Oz\c{c}ep} and {M\"oller}, Ralf and Neuenstadt, Christian},
biburl = {https://www.bibsonomy.org/bibtex/2b7ba9ab3c576994db8ba4fc2251cb447/oezcep},
booktitle = {Proceedings of the 7th International Workshop on Description Logics (DL-2014)},
editor = {Bienvenu, Meghyn and Ortiz, Magdalena and Rosati, Riccardo and Simkus, Mantas},
interhash = {d469f349277c8aca1f1f0c5c25de1bf6},
intrahash = {b7ba9ab3c576994db8ba4fc2251cb447},
keywords = {OBDA optique-project},
partneroptique = {TUHH},
timestamp = {2014-10-14T13:12:27.000+0200},
title = {A Stream-Temporal Query Language for Ontology Based Data Access},
wpoptique = {WP5},
year = 2014,
yearoptique = {Y2}
}