Enabling RDF stream processing for sensor data management in the environmental domain

International Journal on Semantic Web and Information Systems

Volumn 12, Issue 4, 2016, Pages 1-21

  Llaves, Alejandro ^a   Corcho, Oscar ^a   Taylor, Peter ^b   Taylor, Kerry ^c  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b CSIRO   (Australia)

^c AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Distributed systems; Environmental monitoring; Semantic annotations; Semantic Sensor Web; Sensor data integration; Sensor data querying; Stream processing

Indexed keywords

DATA INTEGRATION; INFORMATION MANAGEMENT; SEMANTIC WEB; SEMANTICS; SENSOR NETWORKS;

DISTRIBUTED SYSTEMS; ENVIRONMENTAL MONITORING; SEMANTIC ANNOTATIONS; SEMANTIC SENSOR WEBS; SENSOR DATA; SENSOR DATA INTEGRATION; STREAM PROCESSING;

DATA HANDLING;

EID: 84987790103     PISSN: 15526283     EISSN: 15526291     Source Type: Journal    
DOI: 10.4018/IJSWIS.2016100101     Document Type: Article

References (36)

1. Anicic, D., Fodor, P., Rudolph, S., & Stojanovic, N. (2011). EP-SPARQL: A Unified Language for Event Processing and Stream Reasoning.Proceedings of the 20th International Conference on World Wide Web (WWW '11) (pp. 635-644). ACM. doi:10.1145/1963405.1963495
2. Babu, S., & Bizarro, P. (2005). Adaptive Query Processing in the Looking Glass.Proceedings of the Second Biennial Conference on Innovative Data Systems Research (CIDR).
3. Barbieri, D. F., Braga, D., Ceri, S., Della Valle, E., & Grossniklaus, M. (2010). C-SPARQL: A continuous query language for RDF data streams. Int. J. Semantic Computing, 4(1), 3-25. doi:10.1142/S1793351X10000936
4. Botts, M., Percivall, G., Reed, C., & Davidson, J. (2008). OGC Sensor Web Enablement: Overview and High Level Architecture. In S. Nittel, A. Labrinidis, A. Stefanidis, (Eds.), GeoSensor Networks, LNCS (Vol. 4540, pp. 175-190). Springer Berlin Heidelberg.
5. Cabral, L., Compton, M., & Mueller, H. (2014). A use case in semantic modelling and ranking for the Sensor Web. In P. Mika, T. Tudorache, A. Bernstein, C. Welty, C. Knoblock, D. Vrandecic, & C. Goble (Eds.), The Semantic Web ISWC 2014, LNCS (Vol. 8797, pp. 276-291). Springer International Publishing; doi:10.1007/978-3-319-11915-1-18
6. Calbimonte, J. P., Corcho, O., & Gray, A. J. G. (2010). Enabling ontology-based access to streaming data sources. Proceedings of the 9th International Semantic Web Conference on The Semantic Web (pp. 96-111). Springer Berlin Heidelberg.
7. Calbimonte, J. P., Jeung, H., Corcho, O., & Aberer, K. (2012). Enabling Query Technologies for the Semantic Sensor Web. International Journal on Semantic Web and Information Systems, 8(1), 43-63. doi:10.4018/jswis.2012010103
8. Compton, M., Barnaghi, P., Bermudez, L., Garcia-Castro, R., Corcho, O., Cox, S., & Taylor, K. et al. (2012). The SSN Ontology of the W3C Semantic Sensor Network Incubator Group. Web Semantics: Science, Services, and Agents on the World Wide Web, 17(0).
9. Corcho, O., & Garcia-Castro, R. (2010). Five challenges for the Semantic Sensor Web. Semantic Web-Interoperability, Usability. Applicability, 1(1-2), 121-125.
10. Delin, K. A., & Jackson, S. P. (2001). The Sensor Web: A New Instrument Concept. Proceedings of the Society for Photo-Instrumentation Engineers, 1-9. doi:10.1117/12.426856
11. DellAglio, D., Calbimonte, J. P., Balduini, M., Corcho, O., & Della Valle, E. (2013). On Correctness in RDF Stream Processor Benchmarking. In The Semantic Web ISWC 2013, LNCS (Vol. 8219, pp. 326-342). Springer Berlin Heidelberg. doi:10.1007/978-3-642-41338-4-21
12. Deshpande, A., Ives, Z., & Raman, V. (2007). Adaptive Query Processing. Foundations and Trends in Databases, 1(1), 1-140. doi:10.1561/1900000001
13. Fernandez, J. D., Llaves, A., & Corcho, O. (2014). Efficient RDF Interchange (ERI) Format for RDF Data Streams. In The Semantic Web ISWC 2014, LNCS (Vol. 8797, pp. 244-259). Springer International Publishing. doi:10.1007/978-3-319-11915-1-16
14. Golab, L., & Özsu, M. T. (2003). Issues in data stream management. SIGMOD Record, 32(2), 5-14. doi:10.1145/776985.776986
15. Goodchild, M. F. (2007). Citizens as sensors: The world of volunteered geography. GeoJournal, 69(4), 211-221. doi:10.1007/s10708-007-9111-y
16. Henson, C., Pschorr, J., Sheth, A., & Thirunarayan, K. (2009). SemSOS: Semantic Sensor Observation Service. Proceedings of theInternational Symposium on Collaborative Technologies and Systems, CTS '09 (pp. 44-53). IEEE.
17. Janowicz, K., Broering, A., Stasch, C., Schade, S., Everding, T., & Llaves, A. (2013). A RESTful proxy and data model for linked sensor data. International Journal of Digital Earth, 6(3), 233-254. doi:10.1080/17538947.2011.614698
18. Janowicz, K., & Compton, M. (2010). The Stimulus-Sensor-Observation Ontology Design Pattern and its Integration into the Semantic Sensor Network Ontology. In K. Taylor, A. Ayyagari, D. De Roure (Eds.), Proceedings of the 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010).
19. Komazec, S., Cerri, D., & Fensel, D. (2012). Sparkwave: Continuous Schema-enhanced Pattern Matching over RDF Data Streams. Proceedings of the 6th ACM International Conference on Distributed Event-Based SystemsDEBS'12 (pp. 58-68). ACM. doi:10.1145/2335484.2335491
20. Le-Phuoc, D., Dao-Tran, M., Pham, M. D., Boncz, P., Eiter, T., & Fink, M. (2012). Linked stream data processing engines: Facts and figures. In Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., & Euzenat, J. (Eds.), Proceedings of the 11th international conference on The Semantic Web - Volume Part II (ISWC'12) (pp. 300-312). doi:10.1007/978-3-642-35173-0-20
21. Le-Phuoc, D., Dao-Tran, M., Xavier Parreira, J., & Hauswirth, M. (2011). A native and adaptive approach for unified processing of linked streams and linked data. In L. Aroyo, C. Welty, H. Alani, J. Taylor, A. Bernstein, L. Kagal, & E. Blomqvist et al. (Eds.), Lecture Notes in Computer Science: Vol. 7031. The Semantic Web ISWC 2011 (pp. 370-388). Springer Berlin Heidelberg. doi:10.1007/978-3-642-25073-6-24
22. Le-Phuoc, D., & Hauswirth, M. (2009). Linked open data in sensor data mashups. In K. Taylor, A. Ayyagari, D. De Roure, (Eds.), Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) (pp. 1-16). CEUR-WS.
23. Le-Phuoc, D., Nguyen, H., Quoc, M., Van, C. L., & Hauswirth, M. (2013). Elastic and Scalable Processing of Linked Stream Data in the Cloud. In H. Alani, L. Kagal, A. Fokoue, P. Groth, C. Biemann, J. X. Parreira, & K. Janowicz et al. (Eds.), The Semantic Web ISWC 2013 (Vol. 8218, pp. 280-297). Springer Berlin Heidelberg. doi:10.1007/978-3-642-41335-3-18
24. Llaves, A., Fernández, J. D., & Corcho, O. (2014). Towards Efficient Processing of RDF Data Streams. In Celino, I., Corcho, O., Dell'Aglio, D., Della Valle, E., Krötzsch, M., Schlobach, S. (Eds.), Proceedings of the 3rd International Workshop on Ordering and Reasoning, collocated with the 13th International Semantic Web Conference (ISWC 2014) (pp. 55-60). CEUR-WS.
25. Llaves, A., & Kuhn, W. (2014). An Event Abstraction Layer for the Integration of Geosensor Data. International Journal of Geographical Information Science, 28(5), 1085-1106. doi:10.1080/13658816.2014.882513
26. Margara, A., Urbani, J., Van Harmelen, F., & Bal, H. (2014). Streaming the Web: Reasoning over dynamic data. Web Semantics: Science, Services, and Agents on the World Wide Web, 25(0), 24-44. doi:10.1016/j.websem.2014.02.001
27. Mueller, H., Cabral, L., Morshed, A., & Shu, Y. (2013). From RESTful to SPARQL: A Case Study on Generating Semantic Sensor Data. In Corcho, O., Henson, C., Barnaghi, P. (Eds.), Proceedings of the 6th International Workshop on Semantic Sensor Networks, collocated with the 12th International Semantic Web Conference (ISWC 2013), vol. 1063 (pp. 51-66). CEUR-WS.
28. Page, K. R., Roure, D. C. D., Martinez, K., Sadler, J. D., & Kit, O. Y. (2009). Linked Sensor Data: RESTfully serving RDF and GML. In Taylor, K., Ayyagari, A., De Roure, D. (Eds.), Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09), collocated with the 8th International Semantic Web Conference (ISWC-2009) (pp. 49-63). CEUR-WS.
29. Patni, H., Henson, C., & Sheth, A. (2010). Linked sensor data. In Collaborative Technologies and Systems (CTS). Proceedings of the2010 International Symposium (pp. 362-370).
30. Pinkel, C., Binnig, C., Haase, P., Martin, C., Sengupta, K., & Trame, J. (2014). How to best find a partner? An evaluation of editing approaches to construct R2RML mappings. InThe Semantic Web: Trends and Challenges, LNCS (Vol. 8465, pp. 675-690). Springer International Publishing.
31. th International Semantic Web Conference (ISWC) (pp. 101-104). CEUR-WS.
32. Sequeda, J. F., & Corcho, O. (2009). Linked Stream Data: A Position Paper. In Taylor, K., Ayyagari, A., De Roure, D. (Eds.), Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN 09), collocated with the 8th International Semantic Web Conference (ISWC-2009), vol. 522 (pp. 148-157). CEUR-WS.
33. Sheth, A., Henson, C., & Sahoo, S. S. (2008). Semantic Sensor Web. IEEE Internet Computing, 12(4), 78-83. doi:10.1109/MIC.2008.87
34. Simonis, I., & Malewski, C. (2011). FL Starfish Fungus Language for Sensor Description. Tech. rep. Open Geospatial Consortium.
35. Taylor, K., & Leidinger, L. (2011). Ontology-driven complex event processing in heterogeneous sensor networks. The Semantic Web: Research and Applications (pp. 285-299). Springer Berlin Heidelberg.
36. Zhang, Y., Duc, P. M., Corcho, O., & Calbimonte, J. P. (2012). SRBench: A streaming RDF/SPARQL benchmark. Proceedings of the 11th International Conference on The Semantic Web ISWC'12 (pp. 641-657). Springer-Verlag.