Semantic Support for Hypothesis-Based Research from Smart Environment Monitoring and Analysis Technologies

Authors: T. S. Myers, J. Trevathan

Abstract:

Improvements in the data fusion and data analysis phase of research are imperative due to the exponential growth of sensed data. Currently, there are developments in the Semantic Sensor Web community to explore efficient methods for reuse, correlation and integration of web-based data sets and live data streams. This paper describes the integration of remotely sensed data with web-available static data for use in observational hypothesis testing and the analysis phase of research. The Semantic Reef system combines semantic technologies (e.g., well-defined ontologies and logic systems) with scientific workflows to enable hypothesis-based research. A framework is presented for how the data fusion concepts from the Semantic Reef architecture map to the Smart Environment Monitoring and Analysis Technologies (SEMAT) intelligent sensor network initiative. The data collected via SEMAT and the inferred knowledge from the Semantic Reef system are ingested to the Tropical Data Hub for data discovery, reuse, curation and publication.

Keywords: Information architecture, Semantic technologies Sensor networks, Ontologies.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087936

References:

[1] T. Myers and I. Atkinson, "Eco-informatics modelling via semantic inference," Information Systems, vol. 04, Available online 28 April 2012 2012.
[2] J. Trevathan, R. Johnstone, T. Chiffings, I. Atkinson, N. Bergmann, W. Read, S. Theiss, T. Myers, and T. Stevens, "SEMAT – The next generation of inexpensive marine environmental monitoring and measurement systems," Sensors, vol. 12, pp. 9711-9748, 2012.
[3] Gray, R. García-Castro, K. Kyzirakos, M. Karpathiotakis, J.-P. Calbimonte, K. Page, J. Sadler, A. Frazer, I. Galpin, A. Fernandes, N. Paton, O. Corcho, M. Koubarakis, D. De Roure, K. Martinez, and A. Gómez-Pérez, "A Semantically Enabled Service Architecture for Mashups over Streaming and Stored Data," in The Semanic Web: Research and Applications. vol. 6644, G. Antoniou, M. Grobelnik, E. Simperl, B. Parsia, D. Plexousakis, P. De Leenheer, and J. Pan, Eds.: Springer Berlin / Heidelberg, 2011, pp. 300-314-314.
[4] Sheth, C. Henson, and S. S. Sahoo, "Semantic Sensor Web," IEEE Internet Computing, vol. 12, pp. 78-83, 2008.
[5] D. Le-Phuoc, H. N. M. Quoc, J. X. Parreira, and M. Hauswirth, "The Linked Sensor Middleware: Connecting the real world and the Semantic Web," in Presented in the Semantic Web Challenge 2011, 10th International Semantic Web Conference (ISWC 2011), Bonn, Germany, 2011.
[6] T. Myers, J. Trevathan, and I. Atkinson, "The Tropical Data Hub: A Virtual Research Environment for tropical science knowledge and discovery," International Journal of Environmental, Cultural, Economic and Social Sustainability, January 2012, to be published.
[7] T. Hey and A. E. Trefethen, "The Data Deluge: an e-Science perspective," in Grid Computing - Making the Global Infrastructure a Reality, Berman F, Fox GC, and Hey AJG, Eds. West Sussex, England: John Wiley and Sons Ltd., 2003, pp. 809-824.
[8] Goble, O. Corcho, P. Alper, and D. De Roure, "e-Science and the Semantic Web: a symbiotic relationship," in Proceedings from the 9th International Conference in Discovery Science (DS 2006), Barcelona, Spain, 2006, pp. 1-12.
[9] A. Henson, H. Neuhaus, A. P. Sheth, K. Thirunarayan, and R. Buyya, "An ontological representation of time series observations on the Semantic Sensor Web," in 1st International Workshop on the Semantic Sensor Web (SemSensWeb 2009), Crete, Greece, 2009, pp. 79-94.
[10] G. Antoniou and F. van Harmelen, A Semantic Web primer Cambridge, MA, USA: The MIT Press, 2004.
[11] N. Guarino, "Understanding, building and using ontologies," International Journal of Human-Computer Studies, vol. 46, pp. 293-310, 1997 1997.
[12] T. S. Myers, I. M. Atkinson, and R. Johnstone, "Supporting coral reef ecosystems research through modelling a re-usable ontology framework," J. Appl. Artif. Intell, vol. 24, pp. 77-101, 2010.
[13] Mindswap. (2007) Pellet: the open source OWL DL reasoner (Online). Available: http://clarkparsia.com/pellet
[14] (2009) Jess - The rule engine for the Java platform (Online). Available: http://herzberg.ca.sandia.gov/jess/
[15] Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludäscher, and S. Mock, "Kepler: an extensible system for design and execution of scientific workflows," in Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 04) Santorini Island, Greece: IEEE, 2004, pp. pp. 423- 424.
[16] Yu and R. Buyya, "A taxonomy of scientific workflow systems for grid computing," SIGMOD Rec., vol. 34, pp. 44-49, 2005.
[17] B. Ludäscher, I. Altintas, C. Berkley, D. Higgins, E. Jaeger, M. Jones, E. A. Lee, J. Tao, and Y. Zhao, "Scientific workflow management and the Kepler system," Concurrency and Computation: Practice and Experience, vol. 18, pp. 1039-1065, 2006.
[18] Protégé. (2009) The ontology editor and knowledge acquisition system (Online). Available: http://protege.stanford.edu/
[19] M. Botts, G. Percivall, C. Reed, and J. Davidson, "OGC® Sensor Web Enablement: Overview and High Level Architecture," in GeoSensor Networks. vol. 4540/2008 Berlin: Springer Berlin / Heidelberg, 2008, pp. 175-190.
[20] Samba. (2012) rsync (Online). Available: http://www.samba.org/ftp/ rsync/rsync.html
[21] A. Henson, J. K. Pschorr, A. P. Sheth, and K. Thirunarayan, "SemSOS: Semantic sensor observation service," in Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems (CTS '09) Washington, DC, USA: IEEE Computer Society, 2009.
[22] G. S. Hamilton, F. Fielding, A. W. Chiffings, B. T. Hart, R. W. Johnstone, and K. Mengersen, "Investigating the Use of a Bayesian Network to Model the Risk of Lyngbya majuscula Bloom Initiation in Deception Bay, Queensland, Australia," Human and Ecological Risk Assessment, vol. 13, pp. 1271-1287, 2012/06/04 2007.
[23] Y. J. Lee, J. Trevathan, I. Atkinson, W. Read, T. Myers, and R. Johnstone, "The Evolution of the SEMAT Sensor Network Management System," in Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), Adelaide, Australia, 2011, pp. 229-234.
[24] C. Bizer, T. Heath, and T. Berners-Lee, "Linked data-the story so far," Int. J. Semantic Web Inf. Syst., vol. 5, pp. 1-22, 2009.