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Abstract

This paper discusses how annotations can be exploited to develop information access and retrieval algorithms that take them into account. The paper proposes a general framework for developing such algorithms that specifically deals with the problem of accessing and retrieving topical information from annotations and annotated documents.

Keywords

Similarity Score Digital Library Digital Object Textual Sign Metadata Schema 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Nicola Ferro
    • 1
  1. 1.University of PaduaItaly

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