A Machine Learning Ontology
Julião Braga, Joaquim L R Dias, Francisco Regateiro
Abstract
This paper describes the creation of an ontology to represent the knowledge around the Machine Learning discipline. Protégé 5 was used, which produces results suitable for agents developed by software and for humans. The knowledge created by Protégé is explicit and Protégé has itself inference machines capable of producing implicit knowledge. The resources available in Protégé 5 are displayed and the ontology is made available for public use, in all of its versions.
Topics & Concepts
OntologyComputer scienceInferenceProtégéArtificial intelligenceProcess ontologySoftwareUpper ontologySuggested Upper Merged OntologyNatural language processingSoftware engineeringDomain knowledgeSemantic WebProgramming languageEpistemologyPhilosophySemantic Web and Ontologies