Using SensorML to construct a geoprocessing e-Science workflow model under a sensor web environment

Chen, Nengcheng; Hu, Chuli; Chen, Yao; Gong, Jianya

doi:10.1016/j.cageo.2011.11.027

Cited by 26 publications

(21 citation statements)

References 16 publications

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“…In turn, [2] proposes using BPEL and process chains from SensorML, a method of creating workflows for the so-called e-science -for these areas of science that require calculations in heavily dispersed network environments or that use vast amounts of data processed in grid environments.…”

Section: Possibilities Of Practical Application Of the Sensorml Langumentioning

confidence: 99%

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

Rossa

Rogulski

2015

Foundations of Computing and Decision Sciences

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Abstract. Mobile and stationary sensors currently used to measure various environmental parameters, functioning independently or as part of monitoring networks and measurement stations, provide vast amounts of data on the state and quality of the environment on the Earth. If the data is to be used effectively, they must be exchanged and shared among IT systems. Systems which offer services of searching, exchange, sharing, visualisation and analysis of dispersed and varied data resources on the widely understood environment are, for example, spatial data infrastructures.The article presents an overview of IT technologies and standards which offer interoperability in spatial data infrastructures. It first defines interoperability and then describes the most important issues connected with spatial data infrastructures on the example of INSPIRE. An example standard which facilitates interoperability in INSPIRE is the SensorML language, a component of Sensor Web Enablement (SWE). Its practical application is proposed -for description of processes of air monitoring in a spatial data infrastructure that is an element of the Polish national environmental monitoring plan.

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Section: Possibilities Of Practical Application Of the Sensorml Langumentioning

confidence: 99%

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

Rossa

Rogulski

2015

Foundations of Computing and Decision Sciences

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“…Each concrete SRO instance has a unique RA. By using the SensorML framework as the reference [28], the RA equation can be expressed as follows:…”

Section: Conceptual Level Of the Proposed Object Modelmentioning

confidence: 99%

“…The current problems involved in satellite sensors are as follows [9,28]: (1) the resources of a remote sensing satellite sensor are abundant but few resources are available or can be appropriately planned for a specific task; and (2) the effective integration of these diverse satellite sensors for collaborated observation is absent. In the current study, we propose an object model for the integration of diverse remote sensing satellite sensors, based on the objectoriented paradigm and the SWE standard information description framework.…”

Section: Introductionmentioning

confidence: 99%

An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

Chen

et al. 2014

Remote Sensing

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Abstract:In the Earth Observation sensor web environment, the rapid, accurate, and unified discovery of diverse remote sensing satellite sensors, and their association to yield an integrated solution for a comprehensive response to specific emergency tasks pose considerable challenges. In this study, we propose a remote sensing satellite sensor object model, based on the object-oriented paradigm and the Open Geospatial Consortium Sensor Model Language. The proposed model comprises a set of sensor resource objects. Each object consists of identification, state of resource attribute, and resource method. We implement the proposed attribute state description by applying it to different remote sensors. A real application, involving the observation of floods at the Yangtze River in China, is undertaken. Results indicate that the sensor inquirer can accurately discover qualified satellite sensors in an accurate and unified manner. By implementing the proposed union operation among the retrieved sensors, the inquirer can further determine how the selected sensors can collaboratively complete a specific observation requirement. Therefore, the proposed model provides a reliable foundation for sharing and integrating multiple remote sensing satellite sensors and their observations.

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“…Yang et al proposed a RESTFul-based workflow interoperation method to integrate heterogeneous workflows, e.g., one workflow to access sensor information and one to process it, into an interoperable unit [27]. Furthermore, Chen et al used SensorML to construct a geoprocessing e-Science workflow model to internally integrate the sensor system, observation, and processes (physical and non-physical) under a sensor web environment [28]. Moreover, for operation in a cloud environment, an agent-based approach was proposed to support the execution of workflows that require large amounts of computational resources and expensive hardware in one or multiple clouds [29].…”

Section: Introductionmentioning

confidence: 99%

“…These works have primarily explored the technical possibilities and feasibility of various types of workflow design, implementation and execution. Additionally, these studies have paid considerable attention to remote sensing sensors for large-scale applications, such as province-scale normalized difference vegetation index (NDVI) calculations [28], rather than applications of in situ or mobile smart sensors, which are more relevant to the rapid operation of cities because of their low cost, relatively simple deployment, high accuracy, continuity and instantaneity.…”

Section: Introductionmentioning

confidence: 99%

Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures

Xiao

Chen

Gong

et al. 2017

IJGI

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Abstract:The smart city has become a popular topic of investigation. How to focus large amounts of distributed information resources to efficiently cope with public emergencies and provide support for personalized decision-making is a vitally important issue in the construction of smart cities. In this paper, an event-driven focusing service (EDFS) method that uses cyber-physical infrastructures for emergency response in smart cities is proposed. The method consists of a focusing service model at the top level, an informational representation of the model and a focusing service process to operate the service model in emergency response. The focusing service method follows an event-driven mechanism that allows the focusing service process to be triggered by public emergencies sensed by wireless sensor networks (WSNs) and mobile crowd sensing, and it integrates the requirements of different societal entities with regard to response to emergencies and information resources, thereby providing comprehensive and personalized support for decision-making. Furthermore, an EDFS prototype system is designed and implemented based on the proposed method. An experiment using a real-world scenario-the gas leakage in August 2014 in Taiyuan, China-is presented demonstrating the feasibility of the proposed method for assisting various societal entities in coping with and efficiently responding to public emergencies.

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Using SensorML to construct a geoprocessing e-Science workflow model under a sensor web environment

Cited by 26 publications

References 16 publications

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

Event-Driven Distributed Information Resource-Focusing Service for Emergency Response in Smart City with Cyber-Physical Infrastructures

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