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Accessing and Integrating Citizen Science Sensor Data: Evaluation of OGC Sensor Observation Service Implementations

Padiya, Trupti and Pathe, Carsten and Löffler, Frank and Klan, Friederike (2019) Accessing and Integrating Citizen Science Sensor Data: Evaluation of OGC Sensor Observation Service Implementations. Geospatial Sensing Conference 2019, 02.-04. Sept. 2019, Münster, Deutschland.

Full text not available from this repository.

Abstract

Sensor Observation Service (SOS) is a web specification standard defined by the Open Geospatial Consortium (OGC) as a part of Sensor Web Enablement (SWE) suite. SOS defines a web service interface built with the intention to allow users to discover, access, and manage sensor data and meta-data in an interoperable and standardized way. The SOS standard is a step towards data interoperability among heterogeneous sensor observation data as they are collected in various domains. A number of standard compliant SOS implementations are available that are either open source or proprietary. The study elaborates and evaluates RESTful SOS implementations in terms of their completeness with regard to the standard, specifically in terms of the mandatory core operations, transactional and enhanced operations. It also discusses about their APIs, features, software architecture and configurations, user documentation and support, the ease of the deployment process, the usability of the provided user interface, available extensions, and performance. A set of soil moisture observations acquired in different research projects is used as a benchmark data to compare the performance of the implementations. We discuss about the procedure and the effort required for creating meta-data for soil moisture sensor observations, the ease of inserting the soil moisture data, procedure for querying this sensor observation data, and query response time of different implementations when executed with the same data on the same hardware. Besides, we discuss pros and cons of different implementations as well as various challenges experienced while working with these SOS implementations. The outcome of this study is supposed to 1) help SOS end users to choose a system based on their requirements, and 2) give insights to SOS developers and the standardization community by identifying a room for improvement.

Item URL in elib:https://elib.dlr.de/133255/
Document Type:Conference or Workshop Item (Speech)
Title:Accessing and Integrating Citizen Science Sensor Data: Evaluation of OGC Sensor Observation Service Implementations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Padiya, Truptitrupti.padiya (at) dlr.deUNSPECIFIED
Pathe, CarstenCarsten.Pathe (at) dlr.deUNSPECIFIED
Löffler, FrankFriedrich-Schiller-Universität JenaUNSPECIFIED
Klan, FriederikeFriederike.Klan (at) dlr.dehttps://orcid.org/0000-0002-1856-7334
Date:2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Citizen Science, data integration, OGC standards, Sensor Observation Service, sensor data
Event Title:Geospatial Sensing Conference 2019
Event Location:Münster, Deutschland
Event Type:international Conference
Event Dates:02.-04. Sept. 2019
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:other
DLR - Research area:Raumfahrt
DLR - Program:R - no assignment
DLR - Research theme (Project):R - no assignment
Location: Jena
Institutes and Institutions:Institute of Data Science > Citizen Science
Deposited By: Klan, Dr. Friederike
Deposited On:23 Jan 2020 15:31
Last Modified:23 Jan 2020 15:31

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