%0 Conference Paper %1 oezcep14RW2014 %A Özcep, Özgür L. %A Möller, Ralf %B Reasoning Web. Reasoning and the Web in the Big Data Era %D 2014 %E Koubarakis, M. %E Stamou, G. %E Stoilos, G. %E Horrocks, I. %E Kolaitis, P. %E Lausen, G. %E Weikum, G. %K OBDA myown optique-project %R 10.1007/978-3-319-10587-1_7 %T Ontology Based Data Access on Temporal and Streaming Data %V 8714 %X Though processing time-dependent data has been investigated for a long time,  the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days.  In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss  the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used  within the  OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).

@inproceedings{oezcep14RW2014, abstract = {Though processing time-dependent data has been investigated for a long time,  the research on temporal and especially stream reasoning over linked open data and ontologies is reaching its high point these days.  In this tutorial, we give an overview of state-of-the art query languages and engines for temporal and stream reasoning. On a more detailed level, we discuss  the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access). STARQL is designed as an expressive and flexible stream query framework that offers the possibility to embed different (temporal) description logics as filter query languages over ontologies, and hence it can be used  within the  OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).}, added-at = {2014-10-14T13:14:02.000+0200}, audience = {academic}, author = {Özcep, Özgür L. and Möller, Ralf}, biburl = {https://www.bibsonomy.org/bibtex/2e8d4e20b22624e9e55eef5fd6ec3bd11/oezcep}, booktitle = {Reasoning Web. Reasoning and the Web in the Big Data Era}, doi = {10.1007/978-3-319-10587-1_7}, editor = {Koubarakis, M. and Stamou, G. and Stoilos, G. and Horrocks, I. and Kolaitis, P. and Lausen, G. and Weikum, G.}, interhash = {c68aca64d2cdfc211a60cd82f66f5134}, intrahash = {e8d4e20b22624e9e55eef5fd6ec3bd11}, keywords = {OBDA myown optique-project}, openaccess = {No}, partneroptique = {TUHH}, series = {Lecture Notes in Computer Science}, timestamp = {2016-12-08T10:52:39.000+0100}, title = {Ontology Based Data Access on Temporal and Streaming Data}, volume = 8714, wpoptique = {WP5}, year = 2014, yearoptique = {Y2} }