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Journals ACM SIGIR Forum Volume 43 Issue 1

DISSERTATION ABSTRACT A Probabilistic Framework for Information Modelling and Retrieval Based on User Annotations on Digital Objects Ingo Frommholz University of Duisburg-Essen∗ ingo@is.inf.uni-due.de http://www.is.inf.uni-due.de/sta €/ingo.html.en Annotations are a means to make critical remarks, to explain and comment things, to add notes and give opinions, and to relate objects. Nowadays, they can be found in digital libraries and collaboratories, for example as a building block for scienti c discussion on the one hand or as private notes on the other hand. We further nd them in product reviews, scienti c databases and many œWeb 2.0  applications; even well-established concepts like emails can be regarded as annotations in a certain sense. Digital annotations can be (textual) comments, markings (i.e. highlighted parts) and references to other documents or document parts. Since annotations convey information which is potentially important to satisfy a user ™s information need, this thesis tries to answer the question of how to exploit annotations for information retrieval. It introduces POLAR, a probabilistic, logic-based framework for annotation-based retrieval, and gives a rst answer to the question if retrieval e €ectiveness can be improved with annotations. A survey of the œannotation universe  reveals some facets of annotations; for

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A probabilistic framework for information modelling and retrieval based on user annotations on digital objects

Frommholz, Ingo
ACM SIGIR Forum , Volume 43 (1)
Association for Computing Machinery – Jun 25, 2009

More Info
  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • Subject Probabilistic computation
  • ISSN 0163-5840
  • D.O.I. 10.1145/1670598.1670615
  • Publisher site Get PDF  

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