posted by system || 2721 views || tracked by 7 users: [display]

WOD 2013 : 2nd International Workshop on Open Data

FacebookTwitterLinkedInGoogle

Link: http://www-etis.ensea.fr/WOD2013
 
When Jun 3, 2013 - Jun 3, 2013
Where Paris, France
Submission Deadline Mar 17, 2013
Categories    databases
 

Call For Papers

***************************************************************************

2nd International Workshop on Open Data (WOD 2013)

Bibliotheque Nationale de France
Paris, June 3, 2013
http://www-etis.ensea.fr/WOD2013

***************************************************************************

There is a vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published for open access. Open Data 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?. The most noteworthy advantage of Open Data is that facts are recorded rather than documents, which become the basis for the discovery of new knowledge that is not contained in any individual source, and the solution of problems that were not originally anticipated by their creators. The vision of a data-driven decision-making is become nowadays a reality. 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 data Web.

The WOD series of workshops aims at fostering research on existing technology barriers that currently impede progress to create value from Open Data. WOD 2013 aims to be a premier venue to gather computer science researchers and practitioners who are contributing to and interested in the emerging movement of Open Data. Hence, it is a unique opportunity to find in a single place up-to-date scientific works on Web-scale Open Data issues that have so far only partially been addressed by different research communities such as Data Management, Data Mining and Knowledge Management, Distributed Systems, Data Privacy, and Data Visualization.

WOD?13 is focused along the following key themes:

* Big Data Management in the Cloud
* Large Scale Data Integration
* Semantic Data Extraction and Enrichment
* Exploratory Searching and Browsing
* Entity Resolution and Data Linking
* Data Curation and Long-term Usability
* Data Evolution and Provenance
* Data Publishing and Privacy
* Data Visualization and Analytics

Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Every submission that jointly covers one or several of the above topics is warmly encouraged. Submissions should not exceed six pages in the WOD 2013 format. The content of submissions is expected to meet the standards of international conferences and workshops. Vision and position papers are specifically welcome.

*** Demonstration session ***

We encourage submissions from both academia and industry reporting prototypes of Open Data systems. Demonstration submissions are limited to two pages in the WOD 2013 format. All submissions should highlight practical lessons or innovative applications from managing real scale Open Data.

Important dates

Paper Submission Deadline: March 17, 2013.
Notification of acceptance or rejection: April 22, 2013.
Camera ready version due: May 17, 2013.
Workshop day: June 3, 2013.
Extended version deadline: July 12, 2013


*** Invited talk ***

Dr. Mariano P. Consens, Information Engineering, MIE and CS University of Toronto will be the invited speaker of WOD?2013.


*** Committees ***

Workshop Chairs

Vassilis Christophides, Univ. of Crete, Greece
Dan Vodislav, Univ. of Cergy-Pontoise, France

Steering Committee

Ioana Manolescu, Inria
Guillaume Raschia, Univ. of Nantes
Martin Theobald, Max Planck Institute

Program Committee

Omar Alonso, Bing/Microsoft
Bernd Amann, Univ. of Paris 6 ? LIP6
Sihem Amer-Yahia, CNRS ? IMAG
S?ren Auer, Univ. of Leipzig
Fran?ois Bancilhon, DataPublica
Omar Benjelloun, Public Data Explorer/Google
Peter Boncz, CWI
Mariano Consens, Univer. of Toronto
Theodore Dalamagas, IMIS-Athena
George Fletcher, Eindhoven University of Technology
Fran?ois Goasdou?, Univ. of Paris 11 ? LRI
David Gross-Amblard, Univ. of Rennes
Ekaterini Ioannou, SoftNet Lab, Technical University of Crete
Grigoris Karvounarakis, LogicBlox Inc.
Dimitris Kotzinos FORTH-ICS
Anne Laurent, Univ. of Montpellier 2
Ioana Manolescu, Inria
Felix Naumann, Hasso Plattner Institute
Mathias Niepert, Univ. of Mannheim
Josiane Xavier Parreira, DERI
Nicoleta Preda, Univ. of Versailles-St-Quentin
Lucian Popa, IBM Research ? Almaden
Guillaume Raschia, Univ. of Nantes
Chantal Reynaud, Univ. of Paris 11 ? LRI
Philippe Rigaux, CNAM Paris
Marie-Christine Rousset, LIG
Ralf Schenkel, MMC/Saarland University
Yannis Stavrakas IMIS-Athena
Martin Theobald, Max Planck Institute
Patrick Valduriez, Inria
Stratis Viglas, Univ. of Edinburgh

Organization Committee

Gildas Illien, BnF Paris
Claudia Marinica, Univ. of Cergy-Pontoise ? ETIS
Tao-Yuan Jen, Univ. of Cergy-Pontoise ? ETIS
Boris Borzic, CNRS ? ETIS

Publicity Chair

Michel Jordan, Univ. of Cergy-Pontoise ? ETIS

Related Resources

ISBDAI 2020   【Ei Compendex Scopus】2020 International Symposium on Big Data and Artificial Intelligence
ICCSEA 2019   9th International Conference on Computer Science, Engineering and Applications
IEEE COINS 2020   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G
CDKP 2020   9th International Conference on Data Mining & Knowledge Management Process
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium
ACM-CSSE 2020-Ei/Scopus 2020   2020 3nd International Conference on Computer Science and Software Engineering (CSSE 2020)
IEEE AIML4COINS 2020   IEEE AIML4COINS2020 | Artificial Intelligence | Machine Learning | Deep Learning | Machine Vision | Big Data Analytics | Video Analytics | Speech Recognition | NLP
CTCM 2019   5th International Conference of Control Theory and Computer Modelling
IDA 2020   The 18th International Symposium on Intelligent Data Analysis (IDA 2020)
ACM-CCGIV 2020-Ei/Scopus 2020   2020 3rd International Conference on Computer Graphics, Image and Visualization (CCGIV 2020)