Discovery Mechanisms for the Sensor Web

Jirka, Simon; Bröring, Arne; Stasch, Christoph

doi:10.3390/s90402661

Cited by 85 publications

(57 citation statements)

References 6 publications

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“…To make this happen, we plan to add weather sensors to the system. In addition, we will update and add new services based on new sensor web technologies [21,22].…”

Section: Discussionmentioning

confidence: 99%

Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

Hu¹

2016

Int. J. Onl. Eng.

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Abstract-An online automatic disaster monitoring system can reduce or prevent geological mine disasters to protect life and property. Global Navigation Satellite System receivers and the GeoRobot are two kinds of in-situ geosensors widely used for monitoring ground movements near mines. A combined monitoring solution is presented that integrates the advantages of both. In addition, a geosensor network system to be used for geological mine disaster monitoring is described. A complete online automatic mine disaster monitoring system including data transmission, data management, and complex data analysis is outlined. This paper proposes a novel overall architecture for mine disaster monitoring. This architecture can seamlessly integrate sensors for long-term, remote, and near real-time monitoring. In the architecture, three layers are used to collect, manage and process observation data. To demonstrate the applicability of the method, a system encompassing this architecture has been deployed to monitor the safety and stability of a slope at an open-pit mine in Inner Mongolia.

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“…To make this happen, we plan to add weather sensors to the system. In addition, we will update and add new services based on new sensor web technologies [21,22].…”

Section: Discussionmentioning

confidence: 99%

Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

Hu¹

2016

Int. J. Onl. Eng.

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“…Among others, this line of research would include the integration of automatic metadata generation packages (Abugessaisa, 2010). Moreover, for sensor data discovery the Sensor Instance Registry (SIR) (Jirka et al, 2009) is a proposal currently being discussed at the OGC which API is feasible to be used, by the Discovery Factory, for registering sensors due to the generic design of the GSF.…”

Section: Discussionmentioning

confidence: 99%

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Díaz

Bröring

McInerney

et al. 2013

Environmental Modelling & Software

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To improve environmental monitoring, the availability of great coverage of spatiotemporal data in an interoperable way is crucial for its integration into environmental models, for example, to compute fire danger models. To produce up-to-date and accurate results those models need the availability of data with high temporal and spatial resolution. Thus, it is promising to consider the increasing number of in-situ sensors providing observations of our environment in real-time. Today, interoperable access to such spatio-temporal data is achieved by Geospatial Information Infrastructures (GIIs). From a technical point of view GIIs provide this data through standards-based Web service interfaces. While those Web service interfaces already enable the interoperable discovery and retrieval of sensor observations, the functionality to publish sensor observations is still an arduous task. Hence, in this paper, we present an approach to improve the registration of sensors and the publication of their observations via standards-based Web service interfaces. We evaluate our approach by extending a standards-based GII and by applying the developed approach to the example of integrating in-situ weather observations into the European Forest Fire Information System for assessing fire danger in Spain.

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“…Finally, standards for encoding the semantics of sensor data need to be improved in order to support improved semantic interoperability. For example, Jirka et al (2009) explain that SensorML is a generic standard that allows specifying the same information through different structures, which makes it difficult to process SensorML descriptions automatically (either for semantic enrichment or semantic mapping).…”

Section: Achievements Challenges and Perspectivesmentioning

confidence: 99%

“…For example, the standards to describe the semantics of sensors (e.g., Sensor Model Language, or Sensor ML), which play an increasingly critical role in capturing and distributing observations of phenomena in our environment, are currently not sufficient to support semantic interoperability of sensor data (Jirka et al 2009). Semantic poorness makes differences in intended meaning of data undetectable (Farrugia 2007), and refrains from finding accurate semantic mappings between semantic representations of data sources.…”

Section: Related Work On Semantic Interoperabilitymentioning

confidence: 99%

Real Time Semantic Interoperability in Ad Hoc Networks of Geospatial Data Sources: Challenges, Achievements and Perspectives

Mostafavi

Bakillah

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent advances in geospatial technologies have made available large amount of geospatial data. Meanwhile, new developments in Internet and communication technologies created a shift from isolated geospatial databases to ad hoc networks of geospatial data sources, where data sources can join or leave the network, and form groups to share data and services. However, effective integration and sharing of geospatial data among these data sources and their users are hampered by semantic heterogeneities. These heterogeneities affect the spatial, temporal and thematic aspects of geospatial concepts. There have been many efforts to address semantic interoperability issues in the geospatial domain. These efforts were mainly focused on resolving heterogeneities caused by different and implicit representations of the concepts. However, many approaches have focused on the thematic aspects, leaving aside the explicit representation of spatial and temporal aspects. Also, most semantic interoperability approaches for networks have focused on automating the semantic mapping process. However, the ad hoc network structure is continuously modified by source addition or removal, formation of groups, etc. This dynamic aspect is often neglected in those approaches. This paper proposes a conceptual framework for real time semantic interoperability in ad hoc networks of geospatial data sources. The conceptual framework presents the fundamental elements of real time semantic interoperability through a hierarchy of interrelated semantic states and processes. Then, we use the conceptual framework to set the discussion on the achievements that have already been made, the challenges that remain to be addressed and perspectives with respect to these challenges.

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Discovery Mechanisms for the Sensor Web

Cited by 85 publications

References 6 publications

Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

Online Near real-time Mine Disaster Monitoring System Based on Geosensor Networks

Publishing sensor observations into Geospatial Information Infrastructures: A use case in fire danger assessment

Real Time Semantic Interoperability in Ad Hoc Networks of Geospatial Data Sources: Challenges, Achievements and Perspectives

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