Web Mining 2.0 |
Workshop co-located with the 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 Abstract: 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
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Objectives TopMany 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 âubiquitousâ 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:
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Topics of Interest TopTopics of interest include but are not limited to:
We also encourage submissions which relate research results from other areas to the workshop topics. |
Workshop Organising Committee Top
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Program Committee Top |
Submission and Proceedings TopWe invite two types of submissions for this workshop:
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. |