|
Research | Model or architecture as alternative solution | SREQP |
|
A great amount of scientific data are not stored in the cloud or on the Web, but in multi-institutional data centers [12]. | Scenario focused on the use of ontologies and formal machine-readable descriptions of domain to facilitate search and discovery of this scientific data. | Focused on the extraction, dissemination on Linked Data format, and analysis of solar radiation data from pyranometers. |
|
Authors addressed important challenges such as the increase of sensor streams (Internet of Things) and the observation and measurement that data provided via these streams [13]. | Semantic modeling scheme, a naming convention, and a data distribution mechanism for sensor streams. | The design of a conceptual data model inspired by the Linked Data principles [17] with the aim of generating a set of RDF triples containing information about solar radiation data extracted from multiple sources, such as sensors, platforms, and databases. |
Authors considered that sensor networks are a major source of information for the vision of Digital Earth, which requires more dynamic information systems and stronger capabilities for their integration [14]. | Linked Data model and RESTful proxy for the OGC’s Sensor Observation Service to improve integration and interlinkage of data observation for the Digital Earth. |
Authors considered that it was necessary to overcome current problems of information integration and direct geographical information to the next decade scenario, that is, “Linked Digital Earth” [15]. | Process based on Linked Data principles to combine different sources (heterogeneous, multidisciplinary, multitemporal, multiresolution, and multilingual) to enable the integration of geographical information. |
A language needed to be developed to help overcome key issues that users experience with SensorML language [16]. | StarFL language presents a more restrictive approach and incorporates concepts from the recently published Semantic Sensor Network Ontology. |
|
Authors addressed the benefits of using SSN ontology produced by the W3C Semantic Sensor Network Incubator Group [18]. | The SSN ontology can describe sensors sensing the measurement capabilities of other sensors, resulting observations, and deployments in which sensors are used. | An internal taxonomy that extends SSN and AWS ontologies by providing concrete subclasses and detailing aspects, observations, and measures of sensors. |
|
Authors analyzed challenges in the Internet of Things architecture and those concerning application of large-scale sensor networks, federating sensor networks, sensors data and related context capturing techniques, as well as sensors cloud-based management [19]. | Data streams coming from connected devices to the Internet of Things will challenge the traditional approaches to data management and will contribute to the emerging paradigm of Big Data. |
It is architecture to extract solar radiation information from different external sources and merge it on a single and unique platform inspired by the Linked Data principles [17]. Furthermore, this initiative provides access to solar radiation data stored in a Linked Data Repository through a SPARQL endpoint to query all data stored in the platform. |
Sensors in the physical world should be connected into a network to detect and measure various physical phenomena (e.g., temperature, humidity, and pollution). Then, they should be introduced as Web resources to the end-users [20]. | A SOA-based sensor Web architecture providing an easy approach to integrate sensor providers’ services with information provider services and enable the users to access it as a single, integrated, and searchable service. |
Authors believed that an infrastructural platform should be designed to enable the integration of semantic-based sensor networks [21]. | A new architecture design that enabled the integration of semantic-based sensor networks. This architecture provided a scalable platform capable of supporting huge amounts of sensor data and large numbers of users. |
|