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- Christoph Baumgarten
- SIGIR
- 1997

- Christoph Baumgarten
- SIGIR
- 1999

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 e ectively limiting the ranking process to a subset of… (More)

This thesis describes a probabilistic model for optimum information retrieval in a distributed heterogeneous environment. The model assumes the collection of documents o ered by the environment to be hierarchically partitioned into subcollections. Documents as well as subcollections have to be indexed. At this, indexing methods using di erent indexing… (More)

- Christoph Baumgarten, Gerald E. Farin
- Computer Aided Geometric Design
- 1997

This paper describes a model for optimum information retrieval over a distributed document collection. The model stems from Robertson's Probability Ranking Principle: Having computed individual document rankings correlated to diierent subcollections, these local rankings are stepwise merged into a nal ranking list where the documents are ordered according… (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)

- Christoph Baumgarten
- Information Retrieval
- 2000

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 subcollections. Documents as well as subcollections have to be indexed, where indexing methods using different indexing vocabularies can be… (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)

Abstract. We study the asymptotic behaviour of the probability that a weighted sum of centered i.i.d. random variables Xk does not exceed a constant barrier. For regular random walks, the results follow easily from classical fluctuation theory, while this theory does not carry over to weighted random walks, where essentially nothing seems to be known. First… (More)

- Christoph Baumgarten
- HIM
- 1997