Computing With Words With the Ontological Self-Organizing Map

  title={Computing With Words With the Ontological Self-Organizing Map},
  author={Timothy C. Havens and James M. Keller and Mihail Popescu},
  journal={IEEE Transactions on Fuzzy Systems},
This paper addresses the computing-with-words paradigm by presenting an ontological self-organizing map (OSOM), which produces visualization and summarization information about datasets composed of words, namely, ontological data. The specific data that are used in this paper are the Gene Ontology (GO) annotations of genes and gene products. The OSOM is an extension of the SOM, which was initially developed by Kohonen. We adapt the SOM by integrating ontology-based similarity measures and… CONTINUE READING