LocCom - Local Communities in Information Cities

Project Members:


Cooperation Project, TU Braunschweig, TU Clausthal, Leibniz Universität Hannover (Lower Saxony state government) 169.327,38 € (of 1.100.628 € total)


  • Prof. Dr. Heribert Vollmer (LU Hannover)
  • Prof. Dr.-Ing. Michael Beigl (TU Braunschweig)
  • Prof. Dr.-Ing. Lars Wolf (TU Braunschweig)
  • Prof. Dr. techn. Dipl.-Ing. Wolfgang Nejdl (LU Hannover)
  • Prof. Dr. Christian Siemers (TU Clausthal)
  • Prof. Dr. Mark Vollrath (TU Braunschweig)

Duration: 03/2009 - 09/2012

Project Description:

In this project we develop methods, concepts,  and tools for decentralized IT Ecosystems. Important outcomes will be the development of new services and techniques to guarantee certain quality characteristics. In order to do so, we investigate adaptive techniques on all layers ranging from reconfigurable hardware via protocols up to modelling and inference methods. An important aspect will be the application of context in generalized form.

In particular, a principal objective is the modeling and implementation of generalized social networks based on mobile devices. Using services and information offered by these devices on one hand, and the needs and duties of users on the other hand, peers will be brought together. Further, recommendations concerning activities and usages will be generated automatically and tailored for the users, by taking into account the autonomy of users and devices.

To achieve these goals, techniques and methods of several heterogenous research areas must be combined. The work to be carried out includes:

  • Extending temporal logics (LTL, CTL, CTL*) to model local communities and social networks.
  • Mechanisms to detect, describe, and use context.
  • Scalable networking and communication of mobile devices considering availability of devices and network services.
  • Provable characteristics of social networks (privacy and availability).
  • Recommender Systems, User-centric Media, Integration with heterogenous mobile devices.
  • Adaptive hardware architectures designed for network scalability, optimization of energy consumption vs. computing power.

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