by Nicola Fanizzi, Claudia D'Amato, F Esposito
Abstract:
This work presents a method for retrieval in knowledge bases expressed in Description Logics, founded in the instance-based learning. The procedure implements the disjunctive version space approach exploiting a notion of semantic difference. The method can be employed both to answer to class-membership queries, even though the answers are not logically entailed by the knowledge base, e.g. there are some inconsistent assertions due to heterogeneous sources. In addition, it may also predict/suggest new assertions The method has been implemented and tested in an experimentation, where we show that it is sound and effective.
Reference:
Instance-based retrieval by analogy (Nicola Fanizzi, Claudia D'Amato, F Esposito), In Proceedings of the 2007 ACM symposium on Applied computing, 2007.
Bibtex Entry:
@inproceedings{fanizzi2007instance,
abstract = {This work presents a method for retrieval in knowledge bases expressed in Description Logics, founded in the instance-based learning. The procedure implements the disjunctive version space approach exploiting a notion of semantic difference. The method can be employed both to answer to class-membership queries, even though the answers are not logically entailed by the knowledge base, e.g. there are some inconsistent assertions due to heterogeneous sources. In addition, it may also predict/suggest new assertions The method has been implemented and tested in an experimentation, where we show that it is sound and effective.},
author = {Fanizzi, Nicola and D'Amato, Claudia and Esposito, F},
booktitle = {Proceedings of the 2007 ACM symposium on Applied computing},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
organization = {ACM},
pages = {1398--1402},
title = {{Instance-based retrieval by analogy}},
year = {2007}
}