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Open AccessArticle10.1186/s13326-015-0021-5

Discovering relations between indirectly connected biomedical concepts

Dirk Weissenborn,Michael Schroeder,George Tsatsaronis-2015-05-12-Journal of Biomedical Semantics
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TL;DRAbstract

Analysis of the results indicates that the models can successfully learn expressive path patterns for the examined relations. Furthermore, this work demonstrates that the constructed graph allows for the easy integration of heterogeneous information and discovery of indirect connections between biomedical concepts.

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Analysis of the results indicates that the models can successfully learn expressive path patterns for the examined relations. Furthermore, this work demonstrates that the constructed graph allows for the easy integration of heterogeneous information and discovery of indirect connections between biomedical concepts.

Keywords

Computer scienceRelation (database)GraphKnowledge graphKnowledge extractionPath (computing)Representation (politics)Domain knowledge

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