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Information Retrieval Facility Conference

IRFC 2010: Advances in Multidisciplinary Retrieval pp 1–5Cite as

Scaling Up High-Value Retrieval to Medium-Volume Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6107))

Abstract

We summarise the scientific work presented at the first Information Retrieval Facility Conference [3] and argue that high-value retrieval with medium-volume data, exemplified by patent search, is a thriving topic in a multidisciplinary area that sits between Information Retrieval, Natural Language Processing and Semantic Web Technologies. We analyse the parameters that condition choices of retrieval technology for different sizes and values of document space, and we present the patent document space and some of its characteristics for retrieval work.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield, S1 4DP, UK

    Hamish Cunningham

  2. Information Retrieval Facility, Operngasse 20b, 1040, Vienna, Austria

    Allan Hanbury

  3. Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK

    Stefan Rüger

Authors
  1. Hamish Cunningham
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  2. Allan Hanbury
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  3. Stefan Rüger
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, University of Sheffield, Regent Court, 211 Portobello St., S1 4DP, Sheffield, UK

    Hamish Cunningham

  2. Information Retrieval Facility, Operngasse 20b, 1040, Vienna, Austria

    Allan Hanbury

  3. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

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© 2010 Springer-Verlag Berlin Heidelberg

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Cunningham, H., Hanbury, A., Rüger, S. (2010). Scaling Up High-Value Retrieval to Medium-Volume Data. In: Cunningham, H., Hanbury, A., Rüger, S. (eds) Advances in Multidisciplinary Retrieval. IRFC 2010. Lecture Notes in Computer Science, vol 6107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13084-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-13084-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13083-0

  • Online ISBN: 978-3-642-13084-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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