@misc{Ehrig.December2004,
title = {Similarity for Ontologies - a Comprehensive Framework: workshop paper},
author = {Marc Ehrig and Peter Haase and Mark Hefke and Nenad Sojanovic},
series = {Workshop Enterprise Modelling and Ontology: Ingredients for Interoperability},
year = {December 2004},
abstract = {In this paper we present a comprehensive framework for measuring
similarity within and between ontologies as a basis for the collaboration across
various application fields. In order to define such a framework, we base our work
on an abstract ontology model that allows to adhere to various existing and evolving
ontology standards. The main characteristics of the framework is its layered
structure: We have defined three levels on which the similarity between two entities
(concepts or instances) can be measured: data layer, ontology layer, and context
layer, that cope with the data representation, ontology meaning and the usage
of these entities, respectively. In addition, in each of the layers corresponding
background information is used in order to define the similarity more precisely.
The framework is complete in the sense of covering the similarity between all elements
defined in the abstract ontology model by comprising similarity measures
for all above-named layers as well as relations between them. Moreover, we have
validated our framework with several practical case studies in order to prove benefits
of applying our approach compared to traditional similarity measures. One
of these case studies is described in detail within the paper.},
keywords = {AIFB }
}
::