Share Geonetwork: a web-service platform for environmental data sharing

2013 ◽  
Author(s):  
M. T. Melis ◽  
F. Dessì ◽  
F. Locci ◽  
P. Bonasoni ◽  
E. Vuillermoz
Keyword(s):  
Web Service ◽  
Data Sharing ◽  
Environmental Data ◽  
Service Platform

5G based SmartCity Convergence Service Platform for Data sharing

2020 ◽  
Author(s):  
Jiyeon Kim ◽  
Sooyoung Jang ◽  
Deockgu Jee ◽  
Eunjin Ko ◽  
Seung Han Choi ◽  
...  
Keyword(s):  
Data Sharing ◽  
Service Platform

CLUeFARM: Integrated web-service platform for smart farms

2018 ◽  
Vol 154 ◽  
pp. 134-154 ◽  
Author(s):  
Madalin Colezea ◽  
George Musat ◽  
Florin Pop ◽  
Catalin Negru ◽  
Alexandru Dumitrascu ◽  
...  
Keyword(s):  
Web Service ◽  
Service Platform

The German Environmental Information Portal PortalU

2010 ◽  
pp. 337-346
Author(s):  
Stefanie Konstantinidis ◽  
Fred Kruse ◽  
Martin Klenke
Keyword(s):  
Web Service ◽  
Environmental Information ◽  
Environmental Data ◽  
Federal State ◽  
Special Focus ◽  
Organisational Structure ◽  
Information Portal ◽  
Current Discussion ◽  
Long Time ◽  
Public Organisations

In Germany, public environmental data are in the responsibility of several different public organisations and institutions. The German Environmental Information Portal PortalU® (www.portalu.de) is a web service operated by the environmental administrations to make digital environmental information easier accessible, usable and exploitable for both citizens and environmental experts. The fruitful long-time co-operation between the environmental administrations is an example for a well working organisational structure within a federal state. In this chapter the PortalU technology and the content of the portal are presented. Due to the current discussion referring to INSPIRE, a special focus is set on publishing INSPIRE conform metadata.

scholarly journals An Analysis of a Web Service based Approach for Experimental Data Sharing

2018 ◽  
Vol 14 (09) ◽  
pp. 19
Author(s):  
Velin Spasov Kralev ◽  
Radoslava Stankova Kraleva ◽  
Ninа Sinyagina ◽  
Petia Koprinkova-Hristova ◽  
Nadejda Bocheva
Keyword(s):  
Experimental Data ◽  
Comparative Analysis ◽  
Web Service ◽  
Data Sharing ◽  
Behavioral Experiments ◽  
Specific Data ◽  
Database Server ◽  
Processing Data ◽  
The One ◽  
The Web

<span lang="EN-US">This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. </span><span>Several </span><span lang="EN-US">works</span><span> related to the </span><span lang="EN-US">topic</span><span> and some </span><span lang="EN-US">approaches</span><span> for </span><span lang="EN-US">processing data</span><span> have been discussed. Different </span><span lang="EN-US">technolgoies related to the web services</span><span>, ways of using them and the areas of their application are analyzed. For the purposes of the study, a </span><span lang="EN-US">web service</span><span> for </span><span lang="EN-US">retrieving </span><span>specific data</span><span lang="EN-US"> from a behavioral experiments database</span><span> was de</span><span lang="EN-US">veloped</span><span>.</span><span>The methodology and conditions for conducting </span><span lang="EN-US">the </span><span>experiments are described. T</span><span lang="EN-US">wo</span><span> different indicators </span><span lang="EN-US">a</span><span>re analyzed, respectively: </span><span lang="EN-US">time to retrieve the data from a database </span><span>and iteration time across all records through one </span><span lang="EN-US">loop</span><span>. The results show that when </span><span lang="EN-US">retrieving</span><span> thousands of records both </span><span lang="EN-US">web service based approach</span><span> and an approach based on a remote database</span><span lang="EN-US"> server can be used. However, when retrieving millions of records</span><span>, </span><span lang="EN-US">the fastest approach was the one that uses remote database server</span><span>.</span><span> <span lang="EN-US">T</span></span><span>he obtained</span><span>results</span><span>show that </span><span lang="EN-US">the </span><span>dynamic arrays</span><span lang="EN-US"> (containing strings) </span><span>iterated much faster </span><span lang="EN-US">across all data records </span><span>than </span><span lang="EN-US">the dataset </span><span>approach.</span>

An SOA-Based Architecture to Share Medical Data with Privacy Preservation

2011 ◽  
Vol 2 (3) ◽  
pp. 11-26
Author(s):  
Mahmoud Barhamgi ◽  
Djamal Benslimane ◽  
Chirine Ghedira ◽  
Brahim Medjahed
Keyword(s):  
Web Services ◽  
Web Service ◽  
Data Sharing ◽  
Data Privacy ◽  
Privacy Preservation ◽  
Medical Data ◽  
Query Rewriting ◽  
Healthcare Organizations ◽  
Privacy Constraints ◽  
Viable Approach

Recent years have witnessed a growing interest in using Web services as a reliable means for medical data sharing inside and across healthcare organizations. In such service-based data sharing environments, Web service composition emerged as a viable approach to query data scattered across independent locations. Patient data privacy preservation is an important aspect that must be considered when composing medical Web services. In this paper, the authors show how data privacy can be preserved when composing and executing Web services. Privacy constraints are expressed in the form of RDF queries over a mediated ontology. Query rewriting algorithms are defined to process those queries while preserving users’ privacy.

Sign in / Sign up

Export Citation Format

Share Document