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Alsayed Algergawy- Anahita Kazem
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Dr. Trupti Padiya
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Postdoc Researcher Leutragraben 1, Jentower , 07743 Jena , Room: 21N01A
Join date: 2018-08-13 |
Publications
2020
OGC Citizen Science Interoperability Experiment Engineering Report
Joan Masó , Andrew Cobley, Valantis Tsiakos, Nikolaos Tousert, Theodoros Theodoropoulos, Simon Jirka, Sven Schade, Andreas Matheus, Stefano Tamascelli, Friederike Klan, Trupti Padiya
13.2.2020
Joan Masó , Andrew Cobley, Valantis Tsiakos, Nikolaos Tousert, Theodoros Theodoropoulos, Simon Jirka, Sven Schade, Andreas Matheus, Stefano Tamascelli, Friederike Klan, Trupti Padiya
13.2.2020
2019
Accessing and Integrating Citizen Science Sensor Data: Evaluation of OGC Sensor Observation Service Implementations
Padiya Trupti, Carsten Pathe, Frank Löffler, and Friederike Klan
Geospatial Sensing Conference 2019 2.9.2019
Padiya Trupti, Carsten Pathe, Frank Löffler, and Friederike Klan
Geospatial Sensing Conference 2019 2.9.2019
Talks
2019
A Comparative Evaluation of OGC Sensor Observation Service Implementations
Geospatial Sensing Conference 2019
Münster, Germany 2.9.2019
Geospatial Sensing Conference 2019
Münster, Germany 2.9.2019
Current Projects
| Facilitating Semantic Data Interoperability and Integration for Citizen Science Sensor Data Citizen science data is potentially a valuable source of information. The data is heterogeneous in nature and becomes one of the biggest challenge in rendering information in a usable/reusable way. The project mainly focuses on addressing research issues like data interoperability and data integration to overcome the problem. This project is funded by Friedrich Schiller University Jena under the IMPULSE program. Read More | |
| Semantic Description and (semi-) Automatic Annotation of Citizen Science Data It is a collaborative project between The Heinz-Nixdorf Endowed Chair for Distributed Information Systems at the Friedrich-Schiller-University (FSU) Jena and German Aerospace Center (DLR). The project focuses on interoperability of the citizen science data. Semantic web technologies can be used to realize a model for citizen science measurement and observation data by covering not only the content related aspects, but also including information on the quality, trustworthiness and provenance of the data. Read More | |