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Wednesday, October 21 • 2:15pm - 3:45pm
Tutorial 5 - A Methodology for Publishing Datasets as (linked) Open Data: the COMSODE Project Case

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Linked data are becoming one of the most adopted model used to publish data on the Web. Thanks to the possibility to connect different datasets by means of the RDF features, linked data are suitable to fully exploit the nature of the Web. Even if a lot of tools are available supporting the publication of linked data, in the literature there is a lack of a systematic methodology supporting the publication of linked data, from the identification of the most suitable datasets to be released, to the design of the properties and ontologies to use.

The project COMSODE (Components Supporting the Open Data Exploitation) is an SME-driven RTD project aimed at progressing the capabilities in the Open Data re-use field. COMSODE wants to bring state of the art of research into a solid and industrial set of solutions to overcome the current issues: data published by various open data catalogues are poorly integrated; quality assessment, and cleansing are seldom addressed. COMSODE offers a software platform which enables data consumers to integrate the data before their usage. Therefore, it significantly reduces the costs of open data consumption and hinders open data usage and uptake.

The goal of this tutorial is twofold: on the one hand, a brief comparison of different solutions to the Open Data world will be introduced; on the other hand, we will show in particular how to develop the publication of datasets as Open Data by using the COMSODE methodology and publication platform (ODN), its tools and its data. In this tutorial, all the approaches, best practices, techniques and tools analyzed and systematized in the methodological part of the project will be overviewed, for their relation with the COMSODE “Open Data Publication” Methodology, in the following form:

  • Phases, i.e., the steps of the methodology;
  • Cross-cutting activities, i.e., the steps that are transversal to more than one phase;
  • Artefacts, i.e., the input and output of the different phases, activities and tasks;
  • Roles, i.e., who could be responsible, consultable, or simply informed of the publication of datasets into open data in an organization;
  • Practices, i.e., the techniques and tools to accomplish the different steps and activities related to the management of datasets to obtain their corresponding open data artifacts.

Speakers
avatar for Carlo Batini

Carlo Batini

Carlo Batini is full professor at University of Milan Bicocca. He obtained the graduation in Engineering at University of Roma in 1972, and the post graduation in Computer Science in 1973. Since 1983 to 1986 he has been associate professor, and since 1986 to 2001 he has been full... Read More →



Wednesday October 21, 2015 2:15pm - 3:45pm CEST
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