Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

Created by W.Langdon from gp-bibliography.bib Revision:1.4504

  author =       "Claudia d'Amato and Nicola Fanizzi and 
                 Floriana Esposito",
  title =        "Induction of Optimal Semantic Semi-distances for
                 Clausal Knowledge Bases",
  booktitle =    "17th International Conference on Inductive Logic
                 Programming, ILP 2007",
  year =         "2007",
  editor =       "Hendrik Blockeel and Jan Ramon and Jude W. Shavlik and 
                 Prasad Tadepalli",
  volume =       "4894",
  series =       "Lecture Notes in Computer Science",
  pages =        "29--38",
  address =      "Corvallis, OR, USA",
  month =        jun # " 19-21",
  publisher =    "Springer",
  note =         "Revised Selected Papers",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  DOI =          "doi:10.1007/978-3-540-78469-2_7",
  timestamp =    "Sun, 04 Jun 2017 10:05:36 +0200",
  biburl =       "",
  bibsource =    "dblp computer science bibliography,",
  abstract =     "Several activities related to semantically annotated
                 resources can be enabled by a notion of similarity,
                 spanning from clustering to retrieval, matchmaking and
                 other forms of inductive reasoning. We propose the
                 definition of a family of semi-distances over the set
                 of objects in a knowledge base which can be used in
                 these activities. In the line of works on
                 distance-induction on clausal spaces, the family is
                 parametrized on a committee of concepts expressed with
                 clauses. Hence, we also present a method based on the
                 idea of simulated annealing to be used to optimize the
                 choice of the best concept committee.",

Genetic Programming entries for Claudia d'Amato Nicola Fanizzi Floriana Esposito