Semantic similarity of ontology instances tailored on the application context

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by Riccardo Albertoni, Monica De Martino
Abstract:
The paper proposes a framework to assess the semantic similarity among instances within an ontology. It aims to define a sensitive measurement of semantic similarity, which takes into account different hints hidden in the ontology definition and explicitly considers the application context. The similarity measurement is computed by combining and extending existing similarity measures and tailoring them according to the criteria induced by the context. Experiments and evaluation of the similarity assessment are provided.
Reference:
Semantic similarity of ontology instances tailored on the application context (Riccardo Albertoni, Monica De Martino), In On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE, Springer, volume 4275, 2006.
Bibtex Entry:
@inproceedings{Albertoni2006,
abstract = {The paper proposes a framework to assess the semantic similarity among instances within an ontology. It aims to define a sensitive measurement of semantic similarity, which takes into account different hints hidden in the ontology definition and explicitly considers the application context. The similarity measurement is computed by combining and extending existing similarity measures and tailoring them according to the criteria induced by the context. Experiments and evaluation of the similarity assessment are provided.},
address = {Berlin, Heidelberg},
author = {Albertoni, Riccardo and {De Martino}, Monica},
booktitle = {On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE},
doi = {10.1007/11914853},
isbn = {978-3-540-48287-1},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = oct,
pages = {1020--1038},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
title = {{Semantic similarity of ontology instances tailored on the application context}},
url = {http://dl.acm.org/citation.cfm?id=2149716.2149806},
volume = {4275},
year = {2006}
}
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