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BioDR: Semantic indexing networks for biomedical document retrieval
2010
Expert systems with applications
In Biomedical research, retrieving documents that match an interesting query is a task performed quite frequently. Typically, the set of obtained results is extensive containing many non-interesting documents and consists in a flat list, i.e., not organized or indexed in any way. This work proposes BioDR, a novel approach that allows the semantic indexing of the results of a query, by identifying relevant terms in the documents. These terms emerge from a process of Named Entity Recognition that
doi:10.1016/j.eswa.2009.10.044
fatcat:f3mth5maujh7blsv7is2jptjra