Journal of Sensors / 2016 / Article / Tab 2

Research Article

SREQP: A Solar Radiation Extraction and Query Platform for the Production and Consumption of Linked Data from Weather Stations Sensors

Table 2

Comparison of analyzed sensor Web systems.

System typeFeatures

Framework to integrate and link heterogeneous data from various sources [22].(i) It allows for the reuse, integration, and transformation of data in Linked Data format from several data sources.
(ii) It enables spatial business intelligence for various domain-specific applications.

FlexFT Framework [23](i) It provides a standardized and interoperable interface for sensor observations by relying upon the “Sensor Web” paradigm established by the OGC.
(ii) This framework has been implemented under a prototype developed in Java.
(iii) Flex can cope with high heterogeneity of data with minimal resource overheads.

Distributed framework that provided systematic publishing of environment data [24].(i) It targets smart environments having networks of devices and sensors that interact with one another.
(ii) This framework allows for the publishing of environment data that is continuously updated.
(iii) The environment data updated might be issued at specific time intervals or bound to some environment specific.

Generic software framework for the organization and interpretation of sensor data [25].(i) It allows for the organization and interpretation of data of a large-scale sensor network to monitor atmospheric phenomena.
(ii) This framework is useful to client software systems since it can be queried, integrated, reasoned, visualized, or annotated.

Framework that enables virtual integration of heterogeneous observation data sources [26].(i) The virtual integration of heterogeneous observation data sources is enabled through a Sensor Observation Service standardized interface.
(ii) The framework is being validated as the OGC compliant technology to publish meteorological and oceanographic observation data generated by two Spanish public agencies.

Sense2Web platform [27].(i) It enriches the description of the sensors data.
(ii) It allows users to publish their sensor description data as RDF triples and associate them with any other existing RDF sensor description data.
(iii) It generates links to the existing resources on publicly available Linked Data repositories and makes them available to consumers by using SPARQL endpoint.

SEIPF Framework [28]. (i) This framework provides the ability to query energy consumption information from residential gateways in a machine understandable format to achieve consumption coordination and intelligent negotiation.
(ii) It is based on the client-server model. When it is queried by the client, the framework provides information concerning the energy consumption of the household based on an Energy Profile ontology.

System to achieve better data interoperability and integration by republishing real-world data into linked geosensor data [29].(i) This system relies on the best practices of reusing and matching the SSN ontology and other popular ontologies for heterogeneous data modeling in the water resources application domain.
(ii) It provides a spatial analysis tool to create links.
(iii) It provides a set of RESTful OGC Sensor Observation Service like Linked Data APIs.

AEMETLinkedData [30](i) The system transforms meteorological data into RDF triples.
(ii) It reuses SSN to model sensor description and other upper ontologies (OWL Time, GeoBuddies).
(iii) It uses geographical location to plot meteorological results on the map with Map4rdf tool.

SREQP (i) SREQP enables the solar radiation data extraction from different external sources, mainly sensors, platforms, and databases.
(ii) It transforms and unifies solar radiation data extracted in order to generate and publish a Linked Data repository.
(iii) The platform is reusable for users. All data stored in the repository can be obtained through SPARQL-based queries and using the SPARQL endpoint.
(iv) The internal taxonomy (SOLRAD Taxonomy) of SREQP is also reusable. The taxonomy extends SSN and AWS ontologies in order to reuse recommended ontologies by W3C consortium and provide detailing aspects, observations, and measures of sensors.

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