%0 Conference Paper %1 neuenstadt15OBDA %A Neuenstadt, Christian %A Möller, Ralf %A Özcep, Özgür L. %B HiDeSt '15---Proceedings of the First Workshop on High-Level Declarative Stream Processing (co-located with KI 2015) %D 2015 %E Nicklas, Daniela %E Özcep, Özgür L. %I CEUR-WS.org %K myown obda optique-project %P 70--75 %T OBDA for Temporal Querying and Streams with STARQL %V 1447 %X Data changes worldwide in size and over time and when new data arrives rapidly from different sources, an easy access to dynamic data becomes a key factor. Therefore, temporalizing and streamifying ontology-based data access (OBDA) is a very important topic today, where the industry still relies on algebraic queries. We contribute to the practical efforts in this field by showing how a specific ontology-based stream querying language can be transformed with respect to mappings into standard SQL queries. For that purpose we choose the stream and temporal reasoning query language STARQL. STARQL is motivated by industrial usecases and evaluated in the European research project Optique. It offers access to temporal and streaming data as well for reactive diagnosis or continuous monitoring.

@inproceedings{neuenstadt15OBDA, abstract = {Data changes worldwide in size and over time and when new data arrives rapidly from different sources, an easy access to dynamic data becomes a key factor. Therefore, temporalizing and streamifying ontology-based data access (OBDA) is a very important topic today, where the industry still relies on algebraic queries. We contribute to the practical efforts in this field by showing how a specific ontology-based stream querying language can be transformed with respect to mappings into standard SQL queries. For that purpose we choose the stream and temporal reasoning query language STARQL. STARQL is motivated by industrial usecases and evaluated in the European research project Optique. It offers access to temporal and streaming data as well for reactive diagnosis or continuous monitoring.}, added-at = {2015-09-29T11:05:12.000+0200}, audience = {academic}, author = {Neuenstadt, Christian and Möller, Ralf and Özcep, Özgür L.}, biburl = {https://www.bibsonomy.org/bibtex/28b47b6be5e46780ed83581fa2153763c/oezcep}, booktitle = {{HiDeSt '15}---Proceedings of the First Workshop on High-Level Declarative Stream Processing (co-located with {KI 2015})}, editor = {Nicklas, Daniela and Özcep, Özgür L.}, interhash = {efc1043889bdfb7a627ed9d703ab322e}, intrahash = {8b47b6be5e46780ed83581fa2153763c}, keywords = {myown obda optique-project}, openaccess = {Yes}, pages = {70--75}, partneroptique = {UzL}, publisher = {CEUR-WS.org}, series = {{CEUR} Workshop Proceedings}, timestamp = {2016-12-08T10:49:09.000+0100}, title = {{OBDA} for Temporal Querying and Streams with {STARQL}}, volume = 1447, wpoptique = {WP5}, year = 2015, yearoptique = {Y3} }