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Understanding Web Services
- IEEE IT Professional
, 2001
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
Publishing Sensor Observations into Geospatial Information Infrastructures: A Use Case in Fire Danger Assessment
"... To improve environmental monitoring, the availability of great coverage of spatio-temporal 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 ..."
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To improve environmental monitoring, the availability of great coverage of spatio-temporal 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
A Middleware Framework for the Internet of Things
"... Abstract—After the traditional Internet (with program-to- ..."
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Abstract—After the traditional Internet (with program-to-
Discovering the Sensor Web through Mobile Applications
"... Abstract. Sensor data is crucial for mobile applications to support the user in the field. Several mobile applications are available for accessing such sensor data. However, a comprehensive approach for discovering such sensor data in the Sensor Web according to the user’s context (i.e. the location ..."
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Abstract. Sensor data is crucial for mobile applications to support the user in the field. Several mobile applications are available for accessing such sensor data. However, a comprehensive approach for discovering such sensor data in the Sensor Web according to the user’s context (i.e. the location) has not been proposed yet. This article describes an approach for discovering data and services in the Sensor Web through mobile applications. The approach is demonstrated by an air quality scenario and is implemented based on Free and Open Source Software.
Event Processing in Sensor Webs
"... The submission describes new achievements in the area of Spatio-temporal Stream Processing, a new and powerful approach for geodata processing in Sensor Webs. We introduce the Event Pattern Markup Language which can be integrated in SDIs to enable stream processing functionality and provide examples ..."
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The submission describes new achievements in the area of Spatio-temporal Stream Processing, a new and powerful approach for geodata processing in Sensor Webs. We introduce the Event Pattern Markup Language which can be integrated in SDIs to enable stream processing functionality and provide examples of
Keywords: Sensor Web
, 2009
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
Contents lists available at SciVerse ScienceDirect International Journal of Applied Earth Observation and
"... (This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors i ..."
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(This is a sample cover image for this issue. The actual cover is not yet available at this time.) This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
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"... Abstract—Ocean observing systems may include a wide variety of sensor and instrument types, each with its own capabilities, communication protocols and data formats. Connecting disparate devices into a network typically requires specialized software drivers that translate command and data between th ..."
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Abstract—Ocean observing systems may include a wide variety of sensor and instrument types, each with its own capabilities, communication protocols and data formats. Connecting disparate devices into a network typically requires specialized software drivers that translate command and data between the protocols of the individual instruments, and that of the platform on which they are installed. In addition, such platforms typically require extensive manual configuration to match the driver software and other operational details of each network port to a specific connected instrument. In this paper we describe an approach to "plug & work" interoperability, using standardized protocols to greatly reduce the amount of instrument-specific software and manual configuration required for connecting instruments to an observatory system. Our approach has two main components. First, we use the Sensor Interface Descriptor (SID) model, based on the Open Geospatial Consortium's (OGC) SensorML standard, to describe each instrument's protocol and data format, and to provide a generic driver/parser. Second, a new OGC standard known as PUCK protocol enables storage and retrieval of the SID file from the instrument itself. We demonstrate and evaluate our approach by applying it to three commonly used marine instruments in the OBSEA observatory test bed. Index Terms — OGC, standards, metadata interoperability cabled observatories, PUCK, SensorML, OBSEA. I.
An automatic SWILC classification and extraction for the
"... AntSDI under a Sensor Web environment ..."
