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

Abstract

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
Pages182-186
Number of pages5
Volume186
ISBN (Print)9781614992394
DOIs
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

Other

Other13th EFMI Special Topic Conference: Data and Knowledge for Medical Decision Support, EFMI STC 2013
Country/TerritoryCzech Republic
CityPrague
Period4/17/134/19/13

Keywords

  • Database management
  • Information retrieval
  • Knowledge extraction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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