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Cover of ERCIM News 96

ERCIM News 96

July 2026

Special theme Linked Open Data

Guest editors Irini Fundulaki (Institute of Computer Science, FORTH) and Sören Auer (University of Bonn and Fraunhofer IAIS)

PDF of ERCIM News 96 ePub of ERCIM News 96 52 pages

In this issue

  • Keynote
  • Special Theme
  • Joint ERCIM actions
  • Research and Innovation

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Special theme Quantum Technology

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The D4Science Research-Oriented Social Networking Facilities

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Category: Research and Innovation
Published: 17 January 2014
Hits: 11582

by Massimiliano Assante, Leonardo Candela, Donatella Castelli and Pasquale Pagano

Modern science calls for innovative practices to facilitate research collaborations spanning institutions, disciplines, and countries. Paradigms such as cloud computing and social computing represent a new opportunity for individuals with scant resources, to participate in science. The D4Science.org Hybrid Data Infrastructure combines these two paradigms with Virtual Research Environments in order to offer a large array of collaboration-oriented facilities as-a-Service.

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ShapeForge: Modeling by Examples for 3D Printing

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Category: Research and Innovation
Published: 17 January 2014
Hits: 10932

by Sylvain Lefebvre

Consumer level 3D printing holds great promise for the future [1]. However, few people possess the required skills and time to create elegant designs that conform to precise technical specifications. “By–example” shape synthesis methods are promising to address this problem: New shapes are automatically synthesized from existing ones, by deforming or assembling parts cutout of examples.

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Discriminating Between the Wheat and the Chaff in Online Recommendation Systems

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Category: Research and Innovation
Published: 17 January 2014
Hits: 10640

by Roberto Di Pietro, Marinella Petrocchi, Angelo Spognardi and Maurizio Tesconi

MyChoice is an ambitious research project that aims to model, detect, and isolate outliers (aka fake) in online recommendation systems, as well as in online social networks. The final outcome of the project will be the prototype of an automated engine able to recognize fake information, such as reviews, and fake friends/followers, and able to filter out malicious material, in order to return reliable and genuine content to the user .

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Uncovering Plagiarism - Author Profiling at PAN

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Category: Research and Innovation
Published: 17 January 2014
Hits: 10509

by Paolo Rosso and Francisco Rangel

PAN is a yearly workshop and evaluation lab on uncovering plagiarism, authorship, and social software misuse.

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Articles in the Special Theme and Research and Innovation sections are referenced by DBLP.

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