Yorghos Voutos
ABSTRACT
Nowadays, the well-known Resource Description Framework (RDF) forms a rather general method for web resources' conceptual description or even for generic information modeling. However, RDF's capabilities are challenged once used to effectively represent non-thematic metadata, e.g, in the form of spatial and temporal objects deriving primarily from sensor information. In addition, Wireless Sensor Network (WSN) is considered today to be a widely adopted platform, related to environmental monitoring and decision making applications. Specifically, exclusive subjects, such as environmental degradation and optimized agriculture, provide a scope of applied research on the basis of multilevel semantic data analysis. Observations and sensors are the core of empirical science and their implementation (i.e., the increasing volume of data, heterogeneity of devices, data formats and measurement procedures) produce a large volume of unsupervised data. Thus, the prevailing growth of sensing systems has currently led to the development of defined interoperability among standards on web semantics. In particular, Semantic Sensor Network (SSN) ontologies prospect on modeling the capabilities and properties of sensors, monitoring procedures and observations. Furthermore, the dynamically evolving natural phenomena require proper conceptualization of environmental change and monitoring agents. Consequently, this paper describes an inaugural attempt to create a conceptual framework of spatially and temporally-enabled environmental variables for sensing systems.
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