Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3233/978-1-61499-240-0-182 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Knowledge extraction,database management,information retrieval | Data mining,Information retrieval,Knowledge extraction,Medicine,Relationship extraction | Conference |
Volume | ISSN | Citations |
186 | 0926-9630 | 1 |
PageRank | References | Authors |
0.48 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesca Mulas | 1 | 1 | 0.48 |
| Elisa del Fabbro | 2 | 1 | 0.48 |
| Blaz Zupan | 3 | 16 | 1.80 |
| Riccardo Bellazzi | 4 | 5 | 1.59 |