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Nicholas J. Car and Timo Homburg
In 2012, the Open Geospatial Consortium published GeoSPARQL defining ?an RDF/OWL ontology for [spatial] information?, ?SPARQL extension functions? for performing spatial operations on RDF data and ?RIF rules? defining entailments to be drawn from graph p...
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Martin Landa, Luká? Brodský, Lena Halounová, Tomá? Boucek and Ondrej Pe?ek
The use of in situ references in Earth observation monitoring is a fundamental need. LUCAS (Land Use and Coverage Area frame Survey) is an activity that has performed repeated in situ surveys over Europe every three years since 2006. The dataset is uniqu...
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Mingrui Huang, Xiangtao Fan, Hongdeng Jian, Hongyue Zhang, Liying Guo and Liping Di
The Open Geospatial Consortium (OGC) is an international non-profit standards organization. Established in 1994, OGC aims to make geospatial information and services FAIR-Findable, Accessible, Interoperable, and Reusable. OGC specifications have greatly ...
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Athanasios Koukofikis and Volker Coors
Moving into the third decade of the 21st century, smart cities are becoming a vital concept of advancement of the quality of life. Without any doubt, cities today can generate data of high velocity which can be used in plethora of applications. The wind ...
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Knut Jetlund, Erling Onstein and Lizhen Huang
This study aims to improve the implementation of models of geospatial information in Web Ontology Language (OWL). Large amounts of geospatial information are maintained in Geographic Information Systems (GIS) based on models according to the Unified Mode...
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Kavisha Kumar, Anna Labetski, Ken Arroyo Ohori, Hugo Ledoux and Jantien Stoter
The relatively new Open Geospatial Consortium (OGC) standard LandInfra documents in its data model land and civil engineering infrastructure features. It has a Geography Markup Language (GML) implementation, OGC InfraGML, which has essentially no softwar...
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Bartolomeo Ventura, Andrea Vianello, Daniel Frisinghelli, Mattia Rossi, Roberto Monsorno and Armin Costa
Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eur...
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Andrei Bugaets, Boris Gartsman, Alexander Gelfan, Yury Motovilov, Oleg Sokolov, Leonid Gonchukov, Andrei Kalugin, Vsevolod Moreido, Zoya Suchilina and Evgeniya Fingert
This paper considers the main principles and technologies used in developing the operational modeling system for the Ussuri River Basin of 24,400 km2 based on the automated system of hydrological monitoring and data management (ASHM), the physical-mathem...
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Hicham Hajj-Hassan, Anne Laurent and Arnaud Martin
Environmental data are currently gaining more and more interest as they are required to understand global changes. In this context, sensor data are collected and stored in dedicated databases. Frameworks have been developed for this purpose and rely on s...
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Rassarin Chinnachodteeranun and Kiyoshi Honda
We developed a mechanism for seamlessly providing weather data and long-term historical climate data from a gridded data source through an international standard web API, which was the Sensor Observation Service (SOS) defined by the Open Geospatial Conso...
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