Paper Info
Title
Towards the induction of terminological decision trees
Abstract
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree induction methods to the Description Logics representations adopted in the Semantic Web context. Differently from the original setting of logical trees based on clausal representations, tree-nodes contain terminological concept descriptions (corresponding to OWL-DL classes) which makes it appealing for the Semantic Web applications. The method has been implemented in a prototypical system which has been experimentally evaluated on real ontologies.
Year
DOI
Venue
2010
10.1145/1774088.1774389
SAC
Keywords
Field
DocType
owl-dl class,terminological representation,classic tree induction method,clausal representation,logical tree,logic decision tree,terminological decision tree,semantic web context,semantic web application,description logics representation,terminological concept description,concept learning,description logic,decision tree,semantic web
Ontology (information science),Decision tree,Computer science,Concept learning,Semantic Web,Description logic,Natural language processing,Artificial intelligence,Social Semantic Web
Conference
Citations 
PageRank 
References 
3
0.38
11
Authors
3
Name
Order
Citations
PageRank
Nicola Fanizzi1112490.54
Claudia D'Amato273357.03
Floriana Esposito32434277.96