Hybrid Learning of Ontology Classes

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Jens Lehmann",
  title =        "Hybrid Learning of Ontology Classes",
  booktitle =    "Proceedings of the 5th International Conference on
                 Machine Learning and Data Mining in Pattern
                 Recognition, MLDM 2007",
  year =         "2007",
  editor =       "Petra Perner",
  volume =       "4571",
  series =       "Lecture Notes in Computer Science",
  pages =        "883--898",
  month =        jul # " 18-20",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  language =     "English",
  isbn13 =       "978-3-540-73498-7",
  DOI =          "doi:10.1007/978-3-540-73499-4_66",
  size =         "16 pages",
  abstract =     "Description logics have emerged as one of the most
                 successful formalisms for knowledge representation and
                 reasoning. They are now widely used as a basis for
                 ontologies in the Semantic Web. To extend and analyse
                 ontologies, automated methods for knowledge acquisition
                 and mining are being sought for. Despite its importance
                 for knowledge engineers, the learning problem in
                 description logics has not been investigated as deeply
                 as its counterpart for logic programs.

                 We propose the novel idea of applying evolutionary
                 inspired methods to solve this task. In particular, we
                 show how Genetic Programming can be applied to the
                 learning problem in description logics and combine it
                 with techniques from Inductive Logic Programming. We
                 base our algorithm on thorough theoretical foundations
                 and present a preliminary evaluation.",

Genetic Programming entries for Jens Lehmann