Implementation of OGC Compliant Framework for Data Integration in Water Distribution System

Hussain, Ambreen; Wu, Wenyan; Anzaldi, Gabriel; Abecker, Andreas

doi:10.1016/j.proeng.2015.08.984

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Algunos estudios e implementaciones utilizan el estándar WFS como servidor de datos WaterML 2.0 (Kattar y Ames, 2014), también la combinación de los estándares WaterML 2.0 y SOS (Hussain, 2015), otras por ejemplo realizan modificaciones en el código o alternativas utilizando el método WaterML2.0-GeoServer con el servidor GeoServer (Almoradie et al, 2013), también existen los estudios de adaptación de Water Data Transfer Format (WDTF) hacia WaterML 2.0 (Car y Moore, 2011;Walker et al, 2009), así mismo las que utilizan tecnologías ESRI (Sijbertsma y Hodge, 2013) o por ejemplo GEOSS interoperability for weather, ocean and water (GEOWOW) que participó en el grupo WaterML 2.0 SWG (Vaccari, Craglia y Borzacchiello, 2013) para el avance de WaterML2.0-Part2 (Sheahan y Taylor, 2014), adicionalmente otros estudios siguen los pasos de WaterML y se crea otros estándares como es el caso de RiverML: A Harmonized Transfer Language for River Hydraulic Models (Jackson, 2014;Geoconnexion, 2013).…”

Section: Antecedentes Origen E Historia De Watermlunclassified

Estudio Del Estándar Waterml

Challco¹,

Pau²,

Pesquer³

2017

GeoFocus

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RESUMENLos estándares para la información geoespacial distribuida pueden ser de propósito general o particulares de un dominio. Algunos dominios han avanzado más que otros en la estandarización y en la interoperabilidad como por ejemplo el dominio Meteorológico-Climático o el Hidrológico. El colectivo de Hidrología detectó la necesidad del estándar WaterML, el cual ayuda a la óptima gestión de los recursos del agua. En términos generales, WaterML es un estándar que define un modelo de datos para la representación de las observaciones hidrológicas, con la intención de permitir el intercambio de este conjunto de datos a través de sistemas de información. Está basado en dos estándares: Geographic Markup Language (GML) y Observations and Measurements (O&M). WaterML en su versión 2.0 fue desarrollado por Open Geospatial Consortium (OGC), fue aprobado a mediados del 2012 y finalmente publicado a inicios del 2014. A pesar de ser un estándar emergente, diversas instituciones gubernamentales y no gubernamentales han considerado útil estandarizar la información sobre sus series temporales de datos hidrológicos y además publicarlas en la web. Este trabajo revisa y cuantifica el nivel de uso de WaterML en las aplicaciones hidrológicas actuales y sitúa a WaterML en la arquitectura del conjunto de los estándares OGC.

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Section: Antecedentes Origen E Historia De Watermlunclassified

Estudio Del Estándar Waterml

Challco¹,

Pau²,

Pesquer³

2017

GeoFocus

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“…Regarding the development of solutions for overcoming the data integration and data sharing issue, some authors select an approach of applying international standards. Hussain et al (2015) and Anzaldi et al(2014) utilized Open Geospatial Consortium (OGC) standards that named as WaterML 2.0, which is a model for storing water observation data. Sensor Observation Service (SOS), it defines a web service interface for managing and querying types of sensor data along with some other standards to develop a generic framework for integrating data in water distribution system [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Hussain et al (2015) and Anzaldi et al(2014) utilized Open Geospatial Consortium (OGC) standards that named as WaterML 2.0, which is a model for storing water observation data. Sensor Observation Service (SOS), it defines a web service interface for managing and querying types of sensor data along with some other standards to develop a generic framework for integrating data in water distribution system [9,10]. The authors have proved that with the combination of common knowledge and standards from OGC, the interoperability is enabled.…”

Section: Introductionmentioning

confidence: 99%

Developing an OGC Standard-Based Platform for Integration of Radiation Monitoring Data from Fukushima Area, Japan

Hao¹

2018

RST

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Geographical location of Japan is a reason that causes this country to become one of the most disaster-prone nation in the world. The Nuclear Emergency Response Headquarters of Japan Government has established a comprehensive plan for monitoring radiation due to the Tohoku earthquake on 11 March 2011 that caused the release of radioactive materials from Fukushima Daiichi Nuclear Power Station (NPS). The main purpose of this research is to develop a prototype platform based on Open Geospatial Consortium (OGC) international standards for integrating the radiation monitoring results from Fukushima Area, Japan. Because of the monitoring data was mainly stored in XML or CSV format, this platform provided a simple and standardized environment for converting original data into uniform format with three primary information including observation time, observation locations, and observation results. After stage of data standardization, all converted data was published as services utilizing OGC standards of Catalogue Service for the Web (CSW), Sensor Observation Service (SOS), Web Map Service (WMS) and JSON-based RESTful Application Program Interface (API). Finally, this platform visualizes the monitoring results and provides a client with the functionality of time series selection. The idea of this prototype platform in releasing the radioactive materials monitoring data using international standards has matured over time and does not exclude the possibility of making it open access. The result of this study has shown that the utilization of international standard is a necessary step for data integration and data sharing.

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Sustainable Interoperability and Data Integration for the IoT-Based Information Systems

Hussain

2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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Implementation of OGC Compliant Framework for Data Integration in Water Distribution System

Cited by 3 publications

References 11 publications

Estudio Del Estándar Waterml

Estudio Del Estándar Waterml

Developing an OGC Standard-Based Platform for Integration of Radiation Monitoring Data from Fukushima Area, Japan

Sustainable Interoperability and Data Integration for the IoT-Based Information Systems

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