Contributo in volume, 2008, ENG, 10.1007/978-3-540-77688-8_1
Albertoni R.; De Martino M.
CNR-IMATI, Genova
In this paper we propose an asymmetric semantic similarity among instances within an ontology. We aim to define a measurement of semantic similarity that exploit as much as possible the knowledge stored in the ontology taking into account different hints hidden in the ontology definition. The proposed similarity measurement considers different exis ting similarities, which we have combined and extended. Moreover, the similarity assessment is explicitly parameterised according to the criteria induced by the context. The parameterisation aims to assist the user in the decision making pertaining to similarity evaluation, as the criteria can be refined according to user needs. Experiments and an evaluation of the similarity assessment are presented showing the efficiency of the method.
asymmetric semantic similarity, context, ontology instance
Albertoni Riccardo, De Martino Monica
IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"
ID: 64906
Year: 2008
Type: Contributo in volume
Creation: 2009-06-16 00:00:00.000
Last update: 2020-09-29 11:56:35.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:64906
DOI: 10.1007/978-3-540-77688-8_1
ISI Web of Science (WOS): 000268291600001