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Towards Finding Animal Replacement Methods

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Research and Advanced Technology for Digital Libraries (TPDL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10450))

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Abstract

Protecting animal rights and reducing animal suffering in experimentation is a globally recognized goal in science. Yet numbers have been rising, especially in basic research. While most scientists agree that they would prefer to use less invasive methods, studies have shown that current information systems are not equipped to support the search for alternative methods. In this paper, we outline our investigations into the problem. We look into supervised and semi-supervised methods and outline ways to remedy the problem. We learned that machine assisted methods can identify the documents in question, but they are not perfect yet and in particular the question about gathering sufficient training data is unsolved.

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Notes

  1. 1.

    http://www.gopubmed.org/web/go3r/.

  2. 2.

    http://toxnet.nlm.nih.gov.

  3. 3.

    http://toxnet.nlm.nih.gov/altbib.html.

  4. 4.

    http://www.ncbi.nlm.nih.gov/books/NBK3827/#pubmedhelp.Computation_of_Similar_Articl.

  5. 5.

    http://www.cs.waikato.ac.nz/ml/weka/.

  6. 6.

    http://weka.sourceforge.net/doc.dev/weka/filters/unsupervised/attribute/StringToWordVector.html.

References

  1. Jones, K.S., van Rijsbergen, C.J.: Information retrieval test collections. J. Documentation 32(1), 59–75 (1976)

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  2. van Luijk, J., Cuijpers, Y., van der Vaart, L., de Roo, T.C., Leenaars, M., Ritskes-Hoitinga, M.: Assessing the application of the 3rs: a survey among animal welfare officers in The Netherlands. Lab. Anim. 47(3), 210–219 (2013)

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  3. Zhu, X.: Semi-Supervised Learning Literature Survey. Technical Report 1530, Computer Sciences, University of Wisconsin-Madison (2005)

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Correspondence to Brigitte Mathiak .

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© 2017 Springer International Publishing AG

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Dulisch, N., Mathiak, B. (2017). Towards Finding Animal Replacement Methods. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science(), vol 10450. Springer, Cham. https://doi.org/10.1007/978-3-319-67008-9_51

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  • DOI: https://doi.org/10.1007/978-3-319-67008-9_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67007-2

  • Online ISBN: 978-3-319-67008-9

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