Biomedical Text Mining and Ontologies
This research cluster focuses on the development and application of natural language processing techniques for extracting meaningful information from biomedical literature. It includes the creation of annotated corpora, domain-specific vocabularies, and ontologies that facilitate data integration and knowledge retrieval in the life sciences.
96,289 papers
Parent topic: Biomedical Text Mining and Ontologies
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Papers Over Time
Top Papers
1958 · 1,746 citations
2000 · 1,637 citations
2003 · 692 citations
2009 · 616 citations
2007 · 609 citations
1987 · 547 citations
2014 · 473 citations
2008 · 410 citations
2018 · 397 citations
1978 · 388 citations
1998 · 379 citations
1995 · 363 citations
2005 · 340 citations
2023 · 309 citations
2019 · 305 citations
2006 · 299 citations
1977 · 298 citations
2010 · 240 citations
1999 · 218 citations
1998 · 213 citations