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Mining Biomedical Ontologies and Data Using RDF Hypergraphs
2013
2013 12th International Conference on Machine Learning and Applications
As researchers analyze huge amounts of data that are annotated by large biomedical ontologies, one of the major challenges for data mining and machine learning is to leverage both ontologies and data together in a systematic and scalable way. In this paper, we address two interesting and related problems for mining biomedical ontologies and data: i) how to discover semantic associations with the help of formal ontologies; ii) how to identify potential errors in the ontologies with the help of
doi:10.1109/icmla.2013.31
dblp:conf/icmla/LiuDJLS13
fatcat:ftgbjka5lnb7vkc53utif4pkje