Interest propagation for knowledge extraction and representation

Francesca Mulas, Elisa Del Fabbro, Blaz Zupan, Riccardo Bellazzi

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Due to the increasing number of available biomedical data repositories, providing a comprehensive and intuitive access to information is still a demanding task for Information Retrieval systems. In this work we present an interactive data exploration system that retrieves relevant information by propagating the user's interest within a network. The developed techniques have been applied to two different retrieval tasks useful for biomedical research: the prioritization of proteins related to a disease of interest and the search of publications in the literature. The method relies on a network of biomedical entities, scoring of entities of interest by the user, and score propagation. The assessment of the relevance of the retrieved information confirmed a high accuracy of the presented algorithms for both the domains considered.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Number of pages5
ISBN (Print)9781614992394
Publication statusPublished - 2013
Event13th EFMI Special Topic Conference: Data and Knowledge for Medical Decision Support, EFMI STC 2013 - Prague, Czech Republic
Duration: Apr 17 2013Apr 19 2013


Other13th EFMI Special Topic Conference: Data and Knowledge for Medical Decision Support, EFMI STC 2013
Country/TerritoryCzech Republic


  • Database management
  • Information retrieval
  • Knowledge extraction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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