title: Interest propagation for knowledge extraction and representation.
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.
authors.affiliation: Dipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Italy. francesca.mulas@unipv.it
authors.forename: Francesca
authors.initials: F
authors.lastname: Mulas
authors.forename: Elisa
authors.initials: E
authors.lastname: del Fabbro
authors.forename: Blaz
authors.initials: B
authors.lastname: Zupan
authors.forename: Riccardo
authors.initials: R
authors.lastname: Bellazzi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual