Induction of Optimal Semantic Semi-distances for Clausal Knowledge Bases
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- @InProceedings{DBLP:conf/ilp/dAmatoFE07,
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author = "Claudia d'Amato and Nicola Fanizzi and
Floriana Esposito",
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title = "Induction of Optimal Semantic Semi-distances for
Clausal Knowledge Bases",
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booktitle = "17th International Conference on Inductive Logic
Programming, ILP 2007",
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year = "2007",
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editor = "Hendrik Blockeel and Jan Ramon and Jude W. Shavlik and
Prasad Tadepalli",
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volume = "4894",
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series = "Lecture Notes in Computer Science",
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pages = "29--38",
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address = "Corvallis, OR, USA",
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month = jun # " 19-21",
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publisher = "Springer",
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note = "Revised Selected Papers",
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keywords = "genetic algorithms, genetic programming",
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URL = "https://doi.org/10.1007/978-3-540-78469-2_7",
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DOI = "doi:10.1007/978-3-540-78469-2_7",
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timestamp = "Sun, 04 Jun 2017 10:05:36 +0200",
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biburl = "https://dblp.org/rec/bib/conf/ilp/dAmatoFE07",
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bibsource = "dblp computer science bibliography, https://dblp.org",
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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