Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{DBLP:conf/ilp/dAmatoFE07,

• 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 = "https://doi.org/10.1007/978-3-540-78469-2_7",
• DOI = "doi:10.1007/978-3-540-78469-2_7",
• timestamp = "Sun, 04 Jun 2017 10:05:36 +0200",
• biburl = "https://dblp.org/rec/bib/conf/ilp/dAmatoFE07",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• 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

Citations