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Semantic Analytics of PubMed Content

  • Dominik Ślęzak
  • Andrzej Janusz
  • Wojciech Świeboda
  • Hung Son Nguyen
  • Jan G. Bazan
  • Andrzej Skowron
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7058)

Abstract

We present an architecture aimed at semantic search and synthesis of information acquired from the document repositories. The proposed framework is expected to provide domain knowledge interfaces enabling the internally implemented algorithms to identify relationships between documents, researchers, institutions, as well as concepts extracted from various types of knowledge bases. The framework should be scalable with respect to data volumes, diversity of analytic processes, and the speed of search. In this paper, we investigate these requirements for the case of medical publications gathered in PubMed.

Keywords

Semantic Search and Analytics PubMed MeSH RDBMS Document Repositories Decision Support Systems Behavioral Patterns 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dominik Ślęzak
    • 1
    • 2
  • Andrzej Janusz
    • 1
  • Wojciech Świeboda
    • 1
  • Hung Son Nguyen
    • 1
  • Jan G. Bazan
    • 3
    • 1
  • Andrzej Skowron
    • 1
  1. 1.Institute of MathematicsUniversity of WarsawWarsawPoland
  2. 2.Infobright Inc.WarsawPoland
  3. 3.Chair of Computer ScienceUniversity of RzeszówRzeszówPoland

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