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Towards Knowledge-Based Life Science Publication Repositories

  • Vít Nováček
  • Tudor Groza
  • Siegfried Handschuh
Chapter
Part of the Annals of Information Systems book series (AOIS, volume 11)

Abstract

Despite being a flourishing field, the contemporary online scientific publishing properly exploits mostly raw publication data (rather meaningless bags of words) and shallow meta-data (authors, keywords, citations, etc.) regarding search. The much needed economical mass exploitation of the knowledge implicitly contained in publication texts is still largely an uncharted territory. The way towards filling this gap leads through (1) extraction of asserted publication meta-data together with the knowledge implicitly present in the respective text; (2) integration, refinement and extension of the emergent content; (3) release of the processed content via a meaning-sensitive search&browse interface catering for services complementary to the current full-text search. This chapter addresses the scientific and engineering challenges related to the suggested approach and introduces a particular solution that tackles them – CORAAL, a prototype for knowledge-based life science publication search.

Keywords

Ordered Weighted Average Ordered Weighted Average Operator Citation Context Ontology Learning Predicate Term 
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.

Notes

Acknowledgments

This work has been supported by the EU IST 6th framework’s project “Nepomuk” (FP6-027705) and the “Líon” and “Líon II” projects funded by Science Foundation Ireland under Grant No. SFI/02/CE1/I131, SFI/08/CE/ I1380, respectively. We would like to thank the employees of Masaryk Oncology Institute for their feedback and to Ioana Hulpus for her work on the former CORAAL user interface. Very special thanks goes to the people who have actively participated in the continuous prototype evaluation and testing, namely to (in alphabetical order) Doug Foxvog, Peter Gréll, MD, Miloš Holánek, MD, Matthias Samwald, Holger Stenzhorn and Jiří Vyskočil, MD. We also acknowledge the valuable comments from the anonymous reviewers who helped to improve the final shape of the chapter.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Vít Nováček
    • 1
  • Tudor Groza
    • 1
  • Siegfried Handschuh
    • 1
  1. 1.Digital Enterprise Research Institute (DERI)National University of IrelandGalwayIreland

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