Models, Languages and Tools for the Web of Data
LIP6@Paris, May 29-31, 2013
The Open Data Tutorials are designed for PhD students, researchers and practitioners who work in creating, searching and analyzing data collections for sharing over the Web.
Jointly organized with the WOD 2013 workshop by the University of Cergy-Pontoise and the LIP6 laboratory, the Open Data Tutorials will be hosted by the LIP6 laboratory in Paris, from May 29 to May 31, 2013.
More details about the access to LIP6 are available here.
Wednesday (all day), Friday (all day), and Thursday afternoon, the Open Data Tutorials will be held in the room 105, towers 25-26. To get to room 105, get to the first floor of the 26 tower, and then take the hall to the tower 25.
Thursday morning, the Open Data Tutorials will be held in the room 55A, between towers 55-65.
Participation to the tutorials is free of charge, but the number of places is limited. The deadline for applications for participation is May 12, 2013.
To apply for participation, please use
the application form. Notification of acceptance will be individually sent by email.
For any problems, please contact us at email@example.com.
Participants to the tutorials are warmly encouraged to also join the WOD 2013 workshop in Paris, on June 3, 2013.
Context and objectives
If the world’s knowledge is to be found on the Web, then we should be able to use it to answer questions, retrieve facts, solve problems, and explore possibilities. This is qualitatively different than searching for documents and reading them, even though text search engines are getting better at helping people perform such actions. Many major scientific discoveries and breakthroughs have involved recognizing the connections across domains or integrating insights from several sources. These are not associations of words; they are deep insights that involve the actual subject matter of these domains. This is the objective of the Web of Data which extends current Web infrastructure to a global data space connecting data from diverse domains: “a Web of things in the world, described by data on the Web”. We are currently witnessing a smooth transition on the Web of Data where published data progressively become more and more powerful, easier for people to understand and use.
There is a vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published on the Web of Data for open access. Open Data are expected to make a reality the vision of a data-driven decision-making. They are expected to play a catalyst role in the way structured information is exploited in the large scale, and offers a great potential for building innovative products and services that create new value from already collected data and is expected to foster active citizenship (e.g., journalism, greenhouse gas emissions, food supply-chains, smart mobility, etc.) and world-wide research according to the “fourth paradigm of science”. In particular, Open Data published according to the Linked Data Paradigm transform the Web from a document publishing-only environment into a vibrant information ecosystem where yesterday’s passive readers have become active data aggregators and generators themselves on the so-called Web of Data. According to the W3C quality star scheme we can distinguish data:
★ Available on the web (whatever format) but with an open license, to be Open Data
★★ Available as machine-readable structured data (e.g. excel vs. image scan of a table)
★★★ as (2) plus non-proprietary format (e.g. CSV instead of excel)
★★★★ as (3), plus using open standards from W3C (RDF and SPARQL) to identify things through de-referenceable HTTP URIs, to ensure effective access
★★★★★ as all the above plus establishing links between data of different sources.
In this context, the objective of these tutorials is to introduce and practice with models and languages proposed to address the new challenges to information management posed by the new developments of data at Web scale. This series of tutorials is designed for practitioners, researchers and PhD students who work in creating, searching and analyzing data collections for sharing over the Web. The target audience will learn what are the major Data Deluge movements, how to represent and query data collections using Semantic Web standards, what fragments of logic can be used to reason over data collections, how to resolve real work entities and link data collections, as well as successful stories from analyzing data collections in reality.