Summary
Objective: To select, present, and summarize the best papers published in 2018 in the field
of Knowledge Representation and Management (KRM).
Methods: A comprehensive and standardized review of the medical informatics literature was
performed to select the most interesting papers published in 2018 in KRM, based on
PubMed and ISI Web Of Knowledge queries.
Results: Four best papers were selected among the 962 publications retrieved following the
Yearbook review process. The research areas in 2018 were mainly related to the ontology-based
data integration for phenotype-genotype association mining, the design of ontologies
and their application, and the semantic annotation of clinical texts.
Conclusion: In the KRM selection for 2018, research on semantic representations demonstrated
their added value for enhanced deep learning approaches in text mining and for designing
novel bioinformatics pipelines based on graph databases. In addition, the ontology
structure can enrich the analyses of whole genome expression data. Finally, semantic
representations demonstrated promising results to process phenotypic big data.
Keywords
Big data - informatics - health information technology - genomics - ontologies
