EP-SPARQL: A unified language for event processing and stream reasoning

Proceedings of the 20th International Conference on World Wide Web, WWW 2011

Volumn , Issue , 2011, Pages 635-644

  Anicic, Darko ^a   Fodor, Paul ^b   Rudolph, Sebastian ^c   Stojanovic, Nenad ^a  

^a FZI RESEARCH CENTER FOR INFORMATION TECHNOLOGY   (Germany)

^b STONY BROOK UNIVERSITY   (United States)

^c KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Complex event processing; ETALIS; Rule systems; Semantic web; Streams

Indexed keywords

BACKGROUND KNOWLEDGE; COMPLEX EVENT PROCESSING; COMPLEX EVENTS; ETALIS; EVENT STREAMS; EXECUTION MODEL; FINANCIAL DATA; FORMAL SEMANTICS; GEOSPATIAL INFORMATION; OPEN-SOURCE; PROTOTYPE IMPLEMENTATIONS; REASONING TASKS; RULE SYSTEMS; SENSOR DATA; STATIC KNOWLEDGE; STREAMS; UNIFIED LANGUAGE; WEB APPLICATION;

LOGIC PROGRAMMING; SEMANTIC WEB; WORLD WIDE WEB;

COMPUTER HARDWARE DESCRIPTION LANGUAGES;

EID: 84873453192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963405.1963495     Document Type: Conference Paper

References (21)

1. J. Agrawal, Y. Diao, D. Gyllstrom, and N. Immerman. Efficient pattern matching over event streams. In Proceedings of the 28th ACM SIGMOD Conference, pages 147-160, 2008.
2. D. Anicic, P. Fodor, S. Rudolph, R. Stühmer, N. Stojanovic, and R. Studer. A rule-based language for complex event processing and reasoning. In Proceedings of the 4th International Conference on Web Reasoning and Rule Systems (RR 2010), pages 42{57, 2010.
3. D. Anicic, P. Fodor, S. Rudolph, R. Stühmer, N. Stojanovic, and R. Studer. Etalis: Rule-based reasoning in event processing. In S. Helmer, A. Poulovassilis, and F. Xhafa, editors, Reasoning in Event-based Distributed Systems, Studies in Computational Intelligence series. LNCS, Springer Verlag, 2011.
4. D. F. Barbieri, D. Braga, S. Ceri, E. Della Valle, and M. Grossniklaus. Incremental reasoning on streams and rich background knowledge. In Proceedings of the 7th Extended Semantic Web Conference (ESWC'10), pages 1{15, 2010.
5. D. F. Barbieri, D. Braga, S. Ceri, and M. Grossniklaus. An execution environment for C-SPARQL queries. In Proceedings of the 13th International Conference on Extending Database Technology (EDBT'10), pages 441{452, 2010.
6. R. S. Barga, J. Goldstein, M. H. Ali, and M. Hong. Consistent streaming through time: A vision for event stream processing. In Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research (CIDR'07), pages 363{374, 2007.
7. A. Bolles, M. Grawunder, and J. Jacobi. Streaming SPARQL - extending SPARQL to process data streams. In Proceedings of the 5th European Semantic Web Conference (ESWC'08), pages 448{462, 2008.
8. S. Chandrasekaran, O. Cooper, A. Deshpande, M. J. Franklin, J. M. Hellerstein, W. Hong, S. Krishnamurthy, S. Madden, V. Raman, F. Reiss, and M. A. Shah. Telegraphcq: Continuous dataow processing for an uncertain world. In Proceedings of the 1st Biennial Conference on Innovative Data Systems Research (CIDR'03), 2003.
9. M. Cherniack, H. Balakrishnan, M. Balazinska, D. Carney, U. Çetintemel, Y. Xing, and S. B. Zdonik. Scalable distributed stream processing. In Proceedings of the 1st Biennial Conference on Innovative Data Systems Research (CIDR'03), 2003.
10. E. Della Valle, S. Ceri, F. van Harmelen, and D. Fensel. It's a streaming world! Reasoning upon rapidly changing information. IEEE Intelligent Systems, 24(6):83{89, 2009.
11. F. Grandi. T-SPARQL: a TSQL2-like temporal query language for RDF. In International Workshop on on Querying Graph Structured Data, pages 21{30, 2010.
12. C. Gutierrez, C. A. Hurtado, and A. A. Vaisman. Introducing time into rdf. The IEEE Transactions on Knowledge and Data Engineering, 19(2):207{218, 2007.
13. P. Hitzler, M. Krötzsch, and S. Rudolph. Foundations of Semantic Web Technologies. Chapman & Hall/CRC, August 2009.
14. M. Koubarakis and K. Kyzirakos. Modeling and querying metadata in the semantic sensor web: The model stRDF and the query language stSPARQL. In Proceedings of the 7th Extended Semantic Web Conference (ESWC'10), pages 425{439, 2010.
15. D. Luckham. The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley, Reading, MA, USA, 2002.
16. Y. Mei and S. Madden. Zstream: a cost-based query processor for adaptively detecting composite events. In Proceedings of the 29th ACM SIGMOD Conference, pages 193{206, 2009.
17. M. Perry, A. P. Sheth, and P. Jain. SPARQLST: Extending SPARQL to support spatiotemporal queries. In Technical Report. KNOESIS-TR-2009-01, 2008.
18. E. Prud'hommeaux and A. Seaborne. SPARQL query language for RDF. In http://www.w3.org/TR/rdf-sparql-query/, 2008.
19. A. Rodriguez, R. E. McGrath, and J. Myers. Semantic management of streaming data. In Workshop on Semantic Sensor Nets at ISWC '09, 2009.
20. J. Tappolet and A. Bernstein. Applied temporal RDF: Efficient temporal querying of RDF data with SPARQL. In Proceedings of the 6th European Semantic Web Conference (ESWC'09), pages 308{322, 2009.
21. O. Walavalkar, A. Joshi, T. Finin, and Y. Yesha. Streaming knowledge bases. In International Workshop on Scalable Semantic Web Knowledge Base Systems, 2008.