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Text Mining Provider
Richard Bruskiewich edited this page Oct 18, 2020
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The Text Mining Provider aims to provide an up-to-date, Biolink-compatible, knowledge graph composed of assertions mined from the available full-text biomedical literature.
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Ontology concept cooccurrence KG
- a KG linking ontology concepts that cooccur in scientific text, scored using Google normalized distance
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Targeted text-mined association KG
- a KG of Biolink associations extracted from scientific text
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Ontology KGs
- KGs containing the subclass and relation hierarchies of biomedical ontologies normalized to Biolink concepts/relations
Public biomedical literature archives (like PubMed).
Please see the for details on the development status and implementation plans for the NCATS Translator Text Mining Provider. The referenced repository includes, among others:
- a project board to monitor progress of the milestones from the initial Text Mining Provider proposal
- facility to request new text mining targets and to report errors
- the performances of component tools being used by the Text Mining Provider
- the status of ongoing work related to the Text Mining Provider