Slicing through the Scientific Literature

  • Christopher J. O. Baker
  • Patrick Lambrix
  • Jonas Laurila Bergman
  • Rajaraman Kanagasabai
  • Wee Tiong Ang
Conference paper

DOI: 10.1007/978-3-642-02879-3_11

Volume 5647 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Baker C.J.O., Lambrix P., Laurila Bergman J., Kanagasabai R., Ang W.T. (2009) Slicing through the Scientific Literature. In: Paton N.W., Missier P., Hedeler C. (eds) Data Integration in the Life Sciences. DILS 2009. Lecture Notes in Computer Science, vol 5647. Springer, Berlin, Heidelberg

Abstract

Success in the life sciences depends on access to information in knowlegde bases and literature. Finding and extracting the relevant information depends on a user’s domain knowledge and the knowledge of the search technology. In this paper we present a system that helps users formulate queries and search the scientific literature. The system coordinates ontologies, knowledge representation, text mining and NLP techniques to generate relevant queries in response to keyword input from the user. Queries are presented in natural language, translated to formal query syntax and issued to a knowledge base of scientific literature, documents or aligned document segments. We describe the components of the system and exemplify using real-world examples.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christopher J. O. Baker
    • 1
  • Patrick Lambrix
    • 2
  • Jonas Laurila Bergman
    • 2
  • Rajaraman Kanagasabai
    • 3
  • Wee Tiong Ang
    • 3
  1. 1.Department of Computer Science & Applied StatisticsUniversity of New BrunswickCanada
  2. 2.Department of Computer and Information ScienceLinköpings universitetSweden
  3. 3.Data Mining Department, Institute for Infocomm ResearchAgency for Science Technology and ResearchSingapore