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.

Highlights

  • Standardizing the Ontology and Information Model (IM), which normalize the semantics of various objects such as sensor devices, has been in progress. (In the following, we will call “the Ontology and IM” as “IM”, as far as not specialized cases.) In accordance with the requirements of expanding Machine-To-Machine communication (M2M), it has been required to share the events and measured data yielded by various types of sensors among multiple machines and equipments

  • The major aim of our study is to clarify and to formulate the relationship between configurations and physical measured quantities of the structures implementing a set of sensors

  • We presented our IM, which is highlighted on the integration from the point of view of a structure containing the specified sensors in this paper

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Summary

Introduction

Standardizing the Ontology and Information Model (IM), which normalize the semantics of various objects such as sensor devices, has been in progress. (In the following, we will call “the Ontology and IM” as “IM”, as far as not specialized cases.) In accordance with the requirements of expanding Machine-To-Machine communication (M2M), it has been required to share the events and measured data yielded by various types of sensors among multiple machines and equipments. The current existing approach has been insufficient in order to express the various aspects owned by sensor devices The major aim of our study is to clarify and to formulate 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. It becomes easy to implement a more generalized translator module, which aggregates the measured data from the sensors It will convert the aggregation results into more abstract information on the middleware layer managing these Ontology and IM, instead of the layer of user application programs.

Related Works
Category of “Sensors as Physical Components”
Other Categories
Proposed Information Model
Partial IM in Regards to Raw Event Data from Sensors and Aggregated Data
The Relationship between Information Model and Implemented Architecture
Evaluations and Consideration
Issues in the Practical Operations and Potential Solutions
Conclusions

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