Web Mining 2.0

Workshop co-located with the
18th European Conference on Machine Learning / 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2007

    September 21, 2007 - Warsaw, Poland.

Program Dates Objectives Topics Organization Committee Program Committee Submission


The invited talk will be given by Georg Groh (Technical University Munich, Germany):
Title: Using context models and models for contextually instantiated social relations for mobile social computing services
Social network analysis and models for social structures have gained substantial interest in connection with Web 2.0, communities and other social computing paradigms. While numerous platforms provide means to manage personal social networks of simple kinds, few approaches have been investigated that aim at modelling instantiations of social relations and subsequently using these models for services which are socially- AND context-aware at the same time. In contrast to the simple models of relations which always represent an average with respect to contextual parameters such as time and space, we will investigate models for describing the instantiations of these relations in time and space and discuss ideas for heuristic methods for identifying these instantiated relations algorithmically. These models can be used for a broad spectrum of context-aware mobile services in the fields of Contextual Social Awareness, Contextual Social Recommenders and Information Exchange as well as Context-sensitive Authorization and we will suggest ideas of how such services can be designed to effectively use instantiated social relation models.

Important Dates Top

  • Paper submission deadline: July 7, 2007 (extended)
  • Notification of acceptance/rejection: July 21, 2007
  • Camera-ready papers: July 28, 2007
  • Workshop: September 21, 2007

Objectives Top

Many Web 2.0 applications have rapidly emerged on the Web. This indicates a currently ongoing grass-root creation of knowledge spaces on the Web. The reason for the apparent success of the upcoming tools for Web cooperation (wikis, blogs, etc.) and resource sharing (social bookmark systems, photo sharing systems, etc.) lies mainly in the fact that no specific skills are needed for publishing and editing. As these systems grow larger, however, the users feel the need for more structure for better organizing their resources. For instance, approaches for tagging tags, or for bundling them, are currently discussed on the corresponding news groups. Furthermore, recent developments show an increasing trend for Web 2.0 applications to become “ubiquitous” also beyond the Web; in particular, Web and mobile usage interfaces to social platforms are increasingly being combined.

The machine learning community has a long tradition in extracting structure from large scale data collections. With the Web 2.0, it faces (at least) three new challenges:

  1. New data types appear, for which there exist currently no out-of-the-box data mining solutions, for instance for the triadic hypergraph structure of folksonomies or for documents in wikis that permanently change over time.
  2. The majority of Web 2.0 users have no skills in knowledge engineering and data mining. Tool support targeted directly at the end user has thus to hide the complexity usually involved in the different data mining steps (eg, data cleaning, parameter settings).
  3. Mobile Web 2.0 applications have the potential to offer huge amounts of different types of data: localization is added to temporalization.
Beside submissions that address one of these challenges, papers discussing other aspects on the intersection of Web 2.0 and Knowledge Discovery are also highly welcome.

Topics of Interest Top

Topics of interest include but are not limited to:

  • network analysis of social resources sharing systems
  • analysis of wikis and blogs
  • analysis of social online communities
  • discovering social structures and communities
  • analysis of network dynamics
  • discovering misuse and fraud
  • web 2.0 personalization
  • web 2.0 technologies for recommender systems
  • information retrieval in the web 2.0
  • community detection
  • emergent semantics
  • web 2.0 based ontology learning
  • predicting trends and user behavior
  • semantic association identification by link analysis
  • web 2.0 crawling
  • mining information from distributed and re-combined (“mashed-up”) Web 2.0 sources
  • mobile Web 2.0: social search; mobile communities; …
  • usage interfaces for mining: parallelization of Web and mobile interfaces; mash-up interfaces; interactions between usage interfaces and data collection, mining, and presentation
  • privacy challenges in Web 2.0 and mobile Web 2.0 applications
  • applications of any of the above methods and technologies

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

Workshop Organising Committee Top

  • Bettina Berendt, Institute of Information Systems of Humboldt University Berlin, Germany
  • Dunja Mladenic, J.Stefan Institute, Ljubljana, Slovenia
  • Giovanni Semeraro, Department of Informatics, University of Bari, Italy
  • Myra Spiliopoulou, Institute of Technical and Business Information Systems, Faculty of Computer Science, Otto-von-Guericke-Universitaet Magdeburg, Germany,
  • Gerd Stumme, Hertie Chair of Knowledge and Data Engineering, Universität Kassel, Germany

Program Committee Top

  • Andreas Hotho, Germany
  • Maarten van Someren, Netherlands
  • Janez Brank, Slovenia
  • Michelangelo Ceci, Italy
  • Marco de Gemmis, Italy
  • Natalie Glance, USA
  • Marko Grobelnik, Slovenia
  • Matthew Hurst, USA
  • Pasquale Lops, Italy
  • Ion Muslea, USA
  • Nicolas Nicolov, USA
  • George Paliouras, Greece
  • Sarabjot Anand, UK
  • to be extended ...
  • 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).

    Please upload your submissions to the workshop management system.