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.
Keywords
- Information Retrieval
- Discrete Fourier Transform
- Latent Dirichlet Allocation
- Patent Document
- Patent Cooperation Treaty
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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References
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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
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