Open Data Node can be deployed and used many times, by many kinds of users, for many purposes:
Components Supporting the Open Data Exploitation
The results of project COMSODE enable open data innovation in public bodies and any size businesses. Consortium delivered technologies for sustainable data management (publication, data quality, search, visualization) available mostly as open source. Moreover, the proven methodologies support the upgrade of internal data management processes. The success story now continues across the EU. Ask for expert services of the COMSODErs and benefit from sustainable data management!
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Open Data Node can be deployed and used many times, by many kinds of users, for many purposes:
In 2011, we formed OpenData.cz as a group of Open Data enthusiasts from Charles University and University of Economics in Prague. In that time, we started promoting Open Data among Czech public bodies as well as prospective consumers. As academicians we also started our own research in the area of Linked Open Data publication, visualization and exploration.During the first two years of our Open Data activities we have developed a lot of contacts with public bodies as well as the community of potential Open Data consumers in the Czech Republic. Read More
On September 28th 2015, Open Data Node 1.2 was released. This article will introduce new functionality it contains compared to first stable release ODN 1.0 (described in previous article):
This blog post is the third and final part in a series of posts on creating advanced search applications with Spinque and the Open Data Node. We go to the beginning of the chain and describe the transformation and publication of the datasets itself. Using the Open Data Node we transformed, integrated and published five datasets.
With more and more Linked Open Data published, it’s harder for users to consume them. If you publish just one dataset it’s pretty clear what you are offering and what they could consume. With a larger knowledge base, they have to start by learning its structure. In particular, they need to recognize in which dataset they could find the information they are looking for. That’s why we wanted to come up with a tool that would visually help users to explore a knowledge base and more importantly to enable them to visualise its content in a traditional way. Such a tool is our LDVMi, a part of the ODN platform.
To discover how the LDVMi works in practise, please watch this demo. Read More
