Christoph Baumgarten

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A model for optimal information retrieval over a distributed document collection is described and experimentally evaluated. The fusion of retrieval results corresponding to document subcollections is performed according to the Probability Ranking Principle. Part of the model is a selection criterion for eeectively limiting the ranking process to a subset of(More)
To my parents Acknowledgements I would like to thank all those who gave me support for my work. My supervisor Prof. Dr. Klaus Meyer-Wegener deserves special thanks. Without his help, his encouragements, and the freedom he gave me to realize own ideas, this work would not have been possible. I am deeply indebted to Prof. Dr. Peter Schh auble, who gave me the(More)
In this paper the architecture of a distributed and scalable multimedia information retrieval system (Dsmily) is described. The system consists of hierarchically organized networked nodes and is designed to integrate existing dynamic multimedia databases. The document ranking process as well as the preselection of databases to be searched, both tasks are(More)
In this paper a new model and architecture for information retrieval in a widely distributed hetero-genous multimedia document collection is described. The model generalizes existing probabilistic models for non-distributed information retrieval. The architecture is a conceptual realization of this model. It is hierarchically built in order to provide(More)
This paper describes a probabilistic model for optimum information retrieval in a distributed heterogeneous environment. The model assumes the collection of documents offered by the environment to be partitioned into subcollec-tions. Documents as well as subcollections have to be indexed, where indexing methods using different indexing vocabularies can be(More)