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On the Convergence of Structured Search, Information Retrieval and Trust Management in
 

Summary: On the Convergence of Structured Search,
Information Retrieval and Trust Management in
Distributed Systems
Karl Aberer, Philippe Cudr´e-Mauroux, and Zoran Despotovic
School of Computer and Communication Sciences,
EPFL, Lausanne, Switzerland
{karl.aberer, philippe.cudre-mauroux, zoran.despotovic}@epfl.ch
Abstract. The database and information retrieval communities have
long been recognized as being irreconcilable. Today, however, we witness
a surprising convergence of the techniques used by both communities
in decentralized, large-scale environments. The newly emerging field of
reputation based trust management, borrowing techniques from both
communities, best demonstrates this claim. We argue that incomplete
knowledge and increasing autonomy of the participating entities are the
driving forces behind this convergence, pushing the adoption of proba-
bilistic techniques typically borrowed from an information retrieval con-
text. We argue that using a common probabilistic framework would be
an important step in furthering this convergence and enabling a common
treatment and analysis of distributed complex systems. We will provide
a first sketch of such a framework and illustrate it with examples from

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences