Contributo in volume, 2008, ENG, 10.1007/978-3-540-77688-8_1

Asymmetric and Context-Dependent Semantic Similarity among Ontology Instances

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.

Keywords

asymmetric semantic similarity, context, ontology instance

CNR authors

Albertoni Riccardo, De Martino Monica

CNR institutes

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

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