Ontology Revision Using the Concept of Belief Revision

Kang, Seung Hwan; Lau, Sim Kim

doi:10.1007/978-3-540-30133-2_34

Cited by 10 publications

(16 citation statements)

References 6 publications

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“…These have also been applied to knowledge represented in ontologies [66,78]. One such work, at a preliminary stage, is [76], where the authors propose the use of the AGM theory [39] for ontology evolution. Only some informal ideas regarding the connection of the AGM theory with ontology evolution are provided.…”

Section: Related Workmentioning

confidence: 99%

Beyond Information Silos — An Omnipresent Approach to Software Evolution

Rilling

Witte

Schuegerl

et al. 2008

Int. J. Semantic Computing

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Nowadays, software development and maintenance are highly distributed processes that involve a multitude of supporting tools and resources. Knowledge relevant for a particular software maintenance task is typically dispersed over a wide range of artifacts in different representational formats and at different abstraction levels, resulting in isolated 'information silos'. An increasing number of task-specific software tools aim to support developers, but this often results in additional challenges, as not every project member can be familiar with every tool and its applicability for a given problem. Furthermore, historical knowledge about successfully performed modifications is lost, since only the result is recorded in versioning systems, but not how a developer arrived at the solution. In this research, we introduce conceptual models for the software domain that go beyond existing program and tool models, by including maintenance processes and their constituents. The models are supported by a pro-active, ambient, knowledgebased environment that integrates users, tasks, tools, and resources, as well as processes and history-specific information. Given this ambient environment, we demonstrate how maintainers can be supported with contextual guidance during typical maintenance tasks through the use of ontology queries and reasoning services.

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Section: Related Workmentioning

confidence: 99%

Beyond Information Silos — An Omnipresent Approach to Software Evolution

Rilling

Witte

Schuegerl

et al. 2008

Int. J. Semantic Computing

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show abstract

“…When defining his revision operator, he presumed that the terminological knowledge is more relevant than the assertional knowledge. Recently, some work has been done to analyze the feasibility of applying AGM theory on belief change to DLs [16,7,8]. However, none of them considers the explicit construction of a revision operator.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, they did not consider the application of AGM postulates for revision in DLs where knowledge bases instead of knowledge sets are considered. The work in [16,8] is based on the coherence model, i.e. both the original and the revised knowledge bases should be knowledge sets which are knowledge bases closed under logical consequence.…”

Section: Related Workmentioning

confidence: 99%

Knowledge Base Revision in Description Logics

Liu

Bell

2006

Logics in Artificial Intelligence

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Abstract. Ontology evolution is an important problem in the Semantic Web research. Recently, Alchourrón, Gärdenfors and Markinson's (AGM) theory on belief change has been applied to deal with this problem. However, most of current work only focuses on the feasibility of the application of AGM postulates on contraction to description logics (DLs), a family of ontology languages. So the explicit construction of a revision operator is ignored. In this paper, we first generalize the AGM postulates on revision to DLs. We then define two revision operators in DLs. One is the weakening-based revision operator which is defined by weakening of statements in a DL knowledge base and the other is its refinement. We show that both operators capture some notions of minimal change and satisfy the generalized AGM postulates for revision.

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“…The idea of using the intuitions behind the AGM theory to develop a more general version was initially pursued by the authors in [6], [7], where this generalization was defined and its properties were studied; the use of belief change techniques to address the problem of ontology updating has also been independently considered in [12], [13], [16]. Such techniques could be useful in automating the third phase of ontology evolution (as defined in [17]), under which the change(s) to be made in the ontology in response to a certain need are determined (Semantics of Change phase).…”

Section: Introductionmentioning

confidence: 99%

On Applying the AGM Theory to DLs and OWL

Flouris

Plexousakis

Antoniou

2005

The Semantic Web – ISWC 2005

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Abstract. It is generally acknowledged that any Knowledge Base (KB) should be able to adapt itself to new information received. This problem has been extensively studied in the field of belief change, the dominating approach being the AGM theory. This theory set the standard for determining the rationality of a given belief change mechanism but was placed in a certain context which makes it inapplicable to logics used in the Semantic Web, such as Description Logics (DLs) and OWL. We believe the Semantic Web community would benefit from the application of the AGM theory to such logics. This paper is a preliminary study towards the feasibility of this application. Our approach raises interesting theoretical challenges and has an important practical impact too, given the central role that DLs and OWL play in the Semantic Web.

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Ontology Revision Using the Concept of Belief Revision

Cited by 10 publications

References 6 publications

Beyond Information Silos — An Omnipresent Approach to Software Evolution

Beyond Information Silos — An Omnipresent Approach to Software Evolution

Knowledge Base Revision in Description Logics

On Applying the AGM Theory to DLs and OWL

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