Shinji Kikuchi, Akihito Nakamura, Daishi Yoshino

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Research Center for Advanced Information Science and Technology, University of Aizu, Aizuwakamatsu, Japan.
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Abstract: In accordance with the requirements of expanding Machine-To-Machine communication (M2M), the network overlay is in progress in several domains such as Smart Grid. Consequently, it is predictable that opportunities and cases of integrating yielded data from devices such as sensors will increase more. Accordingly, the importance of Ontology and Information Models (IM) which normalize the semantics including sensor expressions, have increased, and the standards of these definitions have been more important as well. So far, there have been multiple initiatives for standardizing the Ontology and IM in regards to the sensors expression such as Sensor Standards Harmonization by the National Institute of Standards and Technology (NIST), W3C Semantic Sensor Network (SSN) and the recent W3C IoT-Lite Ontology. However, there is still room to improve the current level of the Ontology and IM on the viewpoint of the implementing structure. This paper presents a set of IMs on abstract sensors and contexts in regards to the phenomenon around these sensors from the point of view of a structure implementing these specified sensors. As several previous studies have pointed out, multiple aspects on the sensors should be modeled. Accordingly, multiple sets of Ontology and IM on these sensors should be defined. Our study has intended to clarify the relationship between configurations and physical measured quantities of the structures implementing a set of sensors. Up to present, they have not been generalized and have remained unformulated. Consequently, due to the result of this analysis, it is expected to implement a more generalized translator module easily, which aggregates the measured data from the sensors on the middleware level managing these Ontology and IM, instead of the layer of user application programs.

Keywords: Sensor, Information Model, Ontology, Semantic Integration, Data Aggregation

Cite this paper: Kikuchi, S. , Nakamura, A. and Yoshino, D. (2016) Evaluation on Information Model about Sensors Featured by Relationships to Measured Structural Objects. Advances in Internet of Things, 6, 31-53. doi: 10.4236/ait.2016.63003.

References

[1]   Lefort, L., Henson, C. and Taylor, K. (2011) Semantic Sensor Network XG Final Report. W3C Incubator Group Report 28.
http://www.w3.org/2005/Incubator/ssn/XGR-ssn-20110628/

[2]   Compton, M., 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, 25-32.
http://dx.doi.org/10.1016/j.websem.2012.05.003

[3]   Compton, M., Henson, C., Lefort, L. and Neuhaus, H. (2009) A Survey of the Semantic Specification of Sensors. Proceedings of 2nd International Semantic Sensor Networks Workshop, 52, 17-32.

[4]   Wilkes, W. (2005) Networking among Product Ontologies: The Standard ISO13584-PLIB and Related Developments. Informatik 2005 Informatik Live, Bonn, 22 September 2005, 444-448.

[5]   Murayama, H., Wang, L. and Hosokawa, A. (2010) Building a Bridge between CIM and PLIB Ontologies via IEC62656 on Data Parcels. Proceedings of Grid-Interop Forum 2010, Chicago, 30 November-3 December 2010.

[6]   Lee, K. (2007) Sensor Standards Harmonization-Path to Achieving Sensor Interoperability. Proceedings of 2007 IEEE Autotestcon, Baltimore, 17-20 September 2007, 381-388.

[7]   Chen, N., Li, J. and Hu, C. (2013) A Sensor Capability Information Model under Geospatial Sensor Web Environment. Proceeding of the 2nd International Conference on Agro-Geoinformatics (Agro-Geoinformatics), Fairfax, 12-16 August 2013, 413-418.
http://dx.doi.org/10.1109/argo-geoinformatics.2013.6621954

[8]   Hu, C., Guan, Q., Chen, N., Li, J., Zhong, X. and Han, Y. (2014) An Observation Capability Metadata Model for EO Sensor Discovery in Sensor Web Enablement Environments. Remote Sensing, 6, 10546-10570.
http://dx.doi.org/10.1109/argo-geoinformatics.2013.6621954

[9]   Lanza, J., Sanchez, L., Gomez, D., Elsaleh, T., Steinke, R. and Cirillo, F. (2016) A Proof-of-Concept for Semantically Interoperable Federation of IoT Experimentation Facilities. Sensors, 16, 1006.
http://dx.doi.org/10.3390/s16071006

[10]   Bermudez-Edo, M., Elsaleh, T., Barnaghi, P. and Taylor, K. (2015) IoT-Lite Ontology. W3C Member Submission 26 November 2015.
http://www.w3.org/Submission/2015/SUBM-iot-lite-20151126/

[11]   Peng, J. and Law, K.H. (2004) Reference NEESgrid Data Model.
http://www.neesgrid.org/news/documents.php

[12]   Einde, L., Van Den Fowler, K., Rowley, J., Krishnan, S., Baru, C. and Elgamal, A. (2008) The NEES Data Model in Support of Earthquake Engineering Research. Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, 12-17 October 2008.

[13]   Russomanno, D.J., Kothari, C.R. and Thomas, O.A. (2005) Building a Sensor Ontology: A Practical Approach Leveraging. Proceedings of the 2005 International Conference on Artificial Intelligence, 2, 17-18.

[14]   Wombacher, A. and Schneider, P. (2010) Observation Centric Sensor Data Model. Technical Report TR-CTIT-10-13, Centre for Telematics and Information Technology University of Twente, Twente.

[15]   Pileggi, S.F. (2010) A Novel Domain Ontology for Sensor Networks. Proceedings of 2010 2nd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), Bali, 28-30 September 2010, 443-447.
http://dx.doi.org/10.1109/CIMSiM.2010.52

[16]   ISO Standard (1998) Industrial Automation Systems and Integration-Parts Library—Part 42: Description Methodology: Methodology for Structuring Part Families (ISO13584-42).

[17]   IEC Standard (2004) Data Element Types with Associated Classification Scheme for Electric Components—Part 1: Definitions—Principles and Methods (IEC 61360-1).

[18]   IEC Standard (2004) Data Element Types with Associated Classification Scheme for Electric Components—Part 2: Express Dictionary Schema (IEC 61360-2).

[19]   http://cdd.iec.ch/cdd/iec61360/iec61360.nsf/0/64246470483903C5C12578FB005870E9

[20]   Korsten, M., Stefanescu, D. and Regtien, P. (2003) Sensor Specification Using the ISA and STEP Standards For Sensor Selection. Proceedings of 17th IMEKO World Congress Metrology in the 3rd Millennium, Dubrovnik, 22-27 June 2003, 1106-1110.

[21]   Gutierrez, C., Servigne, S. and Laurini, R. (2007) Towards Real Time Metadata for Network-Based Geographic Databases. Proceedings of 5th International Symposium of Spatial Data Quality, Enschede, 13-15 June 2007, 1-8.

[22]   Amato, F., Casola, V., Gaglione, A. and Mazzeo, A. (2010) A Common Data Model for Sensor Network Integration. Proceedings of 2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), Krakow, 15-18 February 2010, 1081-1086.
http://dx.doi.org/10.1109/CISIS.2010.124

[23]   Calbimonte, J.P., Yan, Z., Jeung, H., Corcho, O. and Aberer, K. (2012) Deriving Semantic Sensor Metadata from Raw Measurements. Proceedings of ISWC 2012 Workshop on Semantic Sensor Networks, Boston, 12 November 2012, 33-48.

[24]   Simovici, D.A. and Tenney, R.L. (1995) Relational Database Systems. Academic Press Inc., Manhattan.

[25]   Japan Electronics and Information Technology Industries Association. Description Rule of Property Dictionary. Rule Number: ECALSDS03, Version 2.6.
http://ec.jeita.or.jp/download/ECALSDS03_e.pdf

[26]   ISO/IEC Standard (2005) Information Technology-Metadata Registries (MDR)—Part2: Classification (ISO/IEC 11179-2). 2nd Edition.

[27]   http://csrc.nist.gov/groups/SNS/rbac/index.html

[28]   SMB Smart Grid Strategic Group (SG3) (2010) IEC Smart Grid Standardization Roadmap.
http://www.iec.ch/smartgrid/roadmap/

[29]   IEEE Standard (2014) IEEE Standard for Ubiquitous Green Community Control Network Protocol (IEEE Std 1888-2014).

[30]   Sheth, A., Henson, C. and Sahoo, S.S. (2008) Semantic Sensor Web. IEEE Internet Computing, 12, 78-83.
http://dx.doi.org/10.1109/MIC.2008.87

[31]   http://ec.jeita.or.jp/jp/modules/contents06/index.php?content_id=1