MOTIVATION

Nowadays, users and community interaction is a growing challenge. By the emergence of collaborative Web, many works have been developed in this domain for community dtection, online community analysis or communication network but do not take semantics into account. Adding semantic identification in communities will allow for a better understanding of their underlying topics beyond textual statistical analysis or tag based methods. It will also enable interconnection of communities with semantic-based content (e.g. Yago, DBpedia, etc.)

PURPOSE

During the last decade, the basic Internet has turned into a generic exchange platform, where any user has become a content provider by using spreading technologies like comments, blogs and wikis. This collaborative Web hosts successful sites like Myspace, Facebook or Flickr, that allow to build social networks based on professional relationship, interests, etc. The main aspect of this new Web is its social networks (social relationships), which connect friends, even geographically distant. Several works are devoted to the identification of user communities or the enhancement of recommendations systems. Semantic-based community is a new step in the conceptualization of communities. In this workshop, we want to bring together researchers from three relevant domains: Semantic Web, Collaborative Web and Social network analysis. We target researchers from both industry and academia to discuss this new area. We intend to consider the recent and significant developments in the use of semantic techniques in social Web applications.

TOPICS OF INTEREST

The workshop addresses researchers and practitioners in the fields of semantic Web, social network and community detection. The topics of interest of the workshop include, but are not limited to:

  • Community detection
  • Evolution of communities
  • Semantic Social systems
  • Social network analysis
  • Role identification in social network;
  • Mobile social network
  • User profile based on semantic techniques