“Connecting and Sharing through the Web”


Social aspects are an integral part of today’s Web, and the widespread use of the Web to connect, share and tap into collective knowledge provides a wealth of actionable data. The crowd can be deployed in various ways, i.e. the so-called crowdsourcing and human computation applications, and their generated data is valuable for developers, researchers and marketers alike. Successfully tapping into the crowd’s knowledge, and gathering, analysing, and visualizing complex, heterogeneous social data, and putting it to good use are major current challenges.

The aim of this track is to solicit contributions on all areas relevant for the social Web, including crowdsourcing and human computing engineering and applications, privacy & security, social data integration, interpretation, analysis, querying and visualisation, etc.

For paper categories, submission instructions and deadlines, please see the ICWE submission page.

Track Chairs

Maria Bielikova, Slovak University of Technology in Bratislava, Slovakia
Flavius Frasincar, Erasmus University Rotterdam, The Netherlands
Contact: socialweb.trackchair.icwe2014@webengineering.org

Track Program Committee

  • Witold Abramowicz, Poznan University of Economics, Poland
  • Ioannis Anagnostopoulos, University of Thessaly, Greece
  • Marco Brambilla, Politecnico di Milano, Italy
  • Richard Chbeir, Le2i – CNRS, France
  • Alexandra Cristea, University of Warwick, UK
  • Oscar Diaz, University of Basque Country, Spain
  • Stefan Dietze, L3S Research Center, Germany
  • Roberto De Virgilio, Universita di Roma Tre, Italy
  • Vania Dimitrova, University of Leeds, UK
  • Martin Gaedke, Chemnitz University of Technology, Germany
  • Geert-Jan Houben, Delft University of Technology, the Netherlands
  • Zakaria Maamar, Zayed University, UAE
  • Jose Palazzo Moreira de Oliveira, UFRGS, Brazil
  • Jan Paralic, Technical University in Kosice, Slovakia
  • Oscar Pastor, Valencia University of Technology, Spain
  • Davide Rossi, University of Bologna, Italy
  • Daniel Schwabe, PUC Rio, Brazil
  • Markus Strohmaier, University of Koblenz-Landau, Germany
  • Julita Vassileva, University of Saskatchewan, Canada
  • Vincent Wade, Trinity College Dublin, Ireland
  • Erik Wilde, UC Berkeley, USA
  • Guandong Xu, University of Technology Sydney, Australia
  • Jaroslav Zendulka, Brno University of Technology, Czech Republic

Topics of interests

  • Social Web design, applications, and collaboration platforms
  • Crowd phenomena in Web-based computational models
  • Design of collective intelligence and crowdsourcing applications
  • Monitoring, analysing, interpreting, and visualizing of user-generated data
  • Computational models for the Social Web
  • Query languages for the Social Web
  • Blog search and retrieval
  • Social Web applications interoperability
  • Content customization and adaptation on the Social Web
  • User modelling for the Social Web
  • User generated content mechanisms
  • Social Web economics
  • Social Web mining, search and recommender systems
  • Annotations and their exploitation for Social Web
  • Multilingual aspects of the Social Web
  • Enriching Social Web data with Linked Open Data
  • Privacy, security and trust management on the Social Web
  • Reputation management on the Social Web
  • Semantics & reasoning in the Social Web, ontologies for social data
  • Social networks data aggregation
  • Social applications on the Mobile Web
  • Analysis, structure and dynamics of social networks
  • Community discovery and link prediction
  • Modelling, analysis and evolution of online social systems
  • Domain specific challenges in Social Web applications