Semantic analytics of pubmed content

  • Authors:

  • Dominik Ślęzak;Andrzej Janusz;Wojciech Świeboda;Hung Son Nguyen;Jan G. Bazan;Andrzej Skowron

  • Affiliations:

  • Institute of Mathematics, University of Warsaw, Warsaw, Poland;Institute of Mathematics, University of Warsaw, Warsaw, Poland;Institute of Mathematics, University of Warsaw, Warsaw, Poland;Institute of Mathematics, University of Warsaw, Warsaw, Poland;Chair of Computer Science, University of Rzeszów, Rzeszów, Poland;Institute of Mathematics, University of Warsaw, Warsaw, Poland

  • Venue:
  • USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
  • Year:
  • 2011

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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.