%0 Conference Paper %1 oezcep15stream-query %A Özcep, Özgür L. %A Möller, Ralf %A Neuenstadt, Christian %B Poceedings of the 28th Australasian Joint Conference on Artificial Intelligence 2015 (AI 2015) %D 2015 %E Pfahringer, Bernhard %E Renz, Jochen %I Springer International Publishing %K myown obda optique-project %R 10.1007/978-3-319-26350-2_40 %T Stream-Query Compilation with Ontologies %V 9457 %X Rational agents perceiving data from a dynamic environment and acting in it have to be equipped with capabilities such as decision making, planning etc. We assume that these capabilities are based on query answering with respect to (high-level) streams of symbolic descriptions, which are grounded in (low-level) data streams. Queries need to be answered w.r.t. an ontology. The central idea is to compile ontology-based stream queries (continuous or historical) to relational data processing technology, for which efficient implementations are available. We motivate our query language STARQL (Streaming and Temporal ontology Access with a Reasoning-Based Query Language) with a sensor data processing scenario, and compare the approach realized in the STARQL framework with related approaches regarding expressivity.

@inproceedings{oezcep15stream-query, abstract = {Rational agents perceiving data from a dynamic environment and acting in it have to be equipped with capabilities such as decision making, planning etc. We assume that these capabilities are based on query answering with respect to (high-level) streams of symbolic descriptions, which are grounded in (low-level) data streams. Queries need to be answered w.r.t. an ontology. The central idea is to compile ontology-based stream queries (continuous or historical) to relational data processing technology, for which efficient implementations are available. We motivate our query language STARQL (Streaming and Temporal ontology Access with a Reasoning-Based Query Language) with a sensor data processing scenario, and compare the approach realized in the STARQL framework with related approaches regarding expressivity. }, added-at = {2015-09-29T11:03:47.000+0200}, audience = {academic}, author = {Özcep, Özgür L. and Möller, Ralf and Neuenstadt, Christian}, biburl = {https://www.bibsonomy.org/bibtex/26945446ca169e5d7c01eb745778d8786/oezcep}, booktitle = {Poceedings of the 28th Australasian Joint Conference on Artificial Intelligence 2015 {(AI 2015)}}, doi = {10.1007/978-3-319-26350-2_40}, editor = {Pfahringer, Bernhard and Renz, Jochen}, interhash = {0ae563f8045d8c4bee3980f4763bd174}, intrahash = {6945446ca169e5d7c01eb745778d8786}, keywords = {myown obda optique-project}, openaccess = {No}, partneroptique = {UzL}, publisher = {Springer International Publishing}, series = {LNAI}, timestamp = {2016-12-08T10:51:05.000+0100}, title = {Stream-Query Compilation with Ontologies}, volume = 9457, wpoptique = {WP5}, year = 2015, yearoptique = {Y3} }