Bridging the Gap between
Semantic Web and Web 2.0

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International Workshop

located at the
4th European Semantic Web Conference
ESWC 2007

    June 7, 2007 - Innsbruck, Austria.

Program Objectives Topics Previous Workshops Organization Committee Program Committee Submission Dates

Objectives Top

New kinds of highly popular user-centered applications such as blogs, folksonomies, and wikis, have come to be known as "Web 2.0". The reason for their immediate success is the fact that no specific skills are needed for participating. These new kinds of tools do not only provide data but also generate a lot of weakly structured meta data. One perfect example is tagging. Here users add tags to a resource which can be seen as a kind of meta data. Tags are supposed to describe, from the users point of view, the resource. Such meta data is easy to produce but it lacks any kind of formal grounding used in the Semantic Web.

On the other hand the Semantic Web complements the described bottom-up effort of the Web 2.0 community in a top down manner as, one of its central points is a fixed vocabulary, typed relations and a stronger knowledge representation based on some kind of ontology. Such structure is typically something users have in mind when they provide their information. But for researcher it is hidden in the data and needs to be extracted. Techniques to analyze network structures or weak knowledge representations like those found in the Web 2.0 have a long tradition in different other disciplines, like social network analysis, machine learning or data mining. These kinds of automatic mechanisms are necessary to extract the hidden information and to reveal the structure in a way that the Semantic Web community can benefit from, and thus provide added value to the end user. On the other hand the established way to represent knowledge gained from the unstructured data can be beneficial for the Web 2.0 in that it provides Web 2.0 users with enhanced SemanticWeb features to structure their data. 

Our aim is to bridge the gap between the Semantic Web and the upcoming Web 2.0 communities. Since both communities work on network like data structures, analysis methods from different fields of research could form a link between those communities. Techniques can be, but are not limited to, social network analysis, graph analysis, machine learning or data mining methods. By bringing together researchers from different fields, we aim to achieve this goal.

Potential Audience

The workshop is intended for researchers who analyze any kind of network like structure obtained either from a social environment, a collaborative environment or any kind of other Web 2.0 environment on the internet. One of the central topics will be the use of Social Network Analysis, machine learning and data mining methods to analyze underlying networks in the Web 2.0 data and thus create enhanced features known from the Semantic Web. The participants will come from the field of computer science, Semantic Web or Web 2.0 research groups. The primary goal of the workshop is to establish and enhance communication between these communities.

Topics of Interest Top

Topics of interest include but are not limited to:

Analysing and Mining Web 2.0 for the Semantic Web:
  • Analysis of Large Online Communities (Wikipedia, DMOZ, EBay, ...)
  • Web Communities of Practice
  • Emergent Semantics in Communities
  • Analysing Folksonomies
  • Learning Ontologies from Web 2.0
  • Trust and Privacy issues in Web 2.0
SNA in Semantic Web:
  • Social Network Analysis of the Semantic Web
  • detection of Semantic Web Communities 
  • Online Harvesting of Semantic Network Information
  • Network Analysis for Building the Semantic Web
  • Trust and Privacy
Social Semantic Networks or Semantic Web in Social enviroments:

  • Online Social Networking (FOAF, Orkut, ...)
  • Self-organization and Management of Semantic Networks
  • Trust Issues in Semantic Networks
  • Semantic Network Metadata
  • Communities in P2P systems
  • Applications of Online Semantic Networks
  • Knowledge Management with Semantic Networks
  • Semantic Wikis

We also encourage submissions which relate research results from other areas to the workshop topics.

Please do not hesitate to contact any of the Organizing Comittee members for further details.

Related Workshops Top

The following related workshops have been/will be held by the coordinators:

Workshop Organising Committee Top

Program Committee Top

Submission and Proceedings Top

We invite two types of submissions for this workshop:

  • Technical papers in any of the topics of interest of the workshop (but not limited to them)
  • Short position papers in any of the topics of interest of the workshop (but not limited to them)

Submitted papers will be peer-reviewed and selected on the basis of these reviews. Accepted papers will be presented at the workshop.

Format requirements for submissions of papers are:

Although not required for the initial submission, we recommend to follow the format guidelines of ESWC (Springer LNCS), as this will be the required format for accepted papers (cf. instructions).

Important Dates Top

  • First call for papers: January, 2007
  • Abstract submissions: March 23, 2007
  • Full paper submissions: March 30, 2007, extented until april 4th, 2007 24:00 EST
  • Notification of acceptance: April 27, 2007 done
  • Camera ready deadline: May 9, 2007 
  • Workshop: June 6-7, 2007

Please do not hesitate to contact us for any questions you have!