Dynamic Change Evaluation for Ontology Evolution in the Semantic Web

Abstract

Changes in an ontology may have a disruptive impact on any system using it. This impact may depend on structural changes such as introduction or removal of concept definitions, or it may be related to a change in the expected performance of the reasoning tasks. As the number of systems using ontologies is expected to increase, and given the open nature of the Semantic Web, introduction of new ontologies and modifications to existing ones are to be expected. Dynamically handling such changes, without requiring human intervention, becomes crucial. This paper presents a framework that isolates groups of related axioms in an OWL ontology, so that a change in one or more axioms can be automatically localised to a part of the ontology.

Ontology evolution: a process-centric survey

“…Another approach proposes the evaluation of changes in ontology evolution using an impact function, which computes the cost involved in performing the change (Palmisano et al ., 2008). This cost is aimed for agents using and changing the ontology, to make a better decision whether to apply the change or not.…”

“…Managing changes involves keeping track of the performed changes (through recording or a posteriori detecting them), as well as keeping track of the various versions that the ontology went Hartung et al (2008), Qin and Atluri (2009) Data instances Hartung et al (2008), Klein and Stuckenschmidt (2003) Dependent ontologies Hartung et al (2008), Thor et al (2009) Dependent mappings MORE Wang et al, 2008), floating version model (Xuan et al, 2006) Dependent applications Liang et al (2006aLiang et al ( , 2006b, Papastefanatos et al (2009Papastefanatos et al ( , 2010; Exelixis (Kondylakis & Plexousakis, 2011a, 2011b Dependent queries Pammer et al (2010Pammer et al ( , 2009 Assertional effects Palmisano et al (2008) Cost of change measure Haase and Stojanovic (2005) Notion of minimal impact 62 F . Z A B L I T H E T A L .…”

Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution

“…The aim here is to present the effect of a statement to the user, in order to make a more informed judgment in implementing the change and preserving conceptual consistency. Another approach proposes the evaluation of changes in ontology evolution using an impact function, which computes the cost involved in performing the change [12]. Tools such as RaDON [7] that check the consistency of the ontology after adding statements, are commonly used to evaluate the impact of the statements, in particular in evolution tasks.…”