Triggering Ontology Alignment Revalidation Based on the Degree of Change Significance on the Ontology Concept Level

Kozierkiewicz, Adrianna; Pietranik, Marcin

doi:10.1007/978-3-030-20485-3_11

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…They have also defined algorithms, which are based on this technique, to evaluate queries in such a multi-version environment. Kozierkiewicz and Pietranik (2019) have studied revalidation of ontology alignment (i.e., mapping defined between two ontologies), which is triggered by evolution of one or both of the participating ontologies, and more precisely by changes performed on concepts of these ontologies. However, the environment in which the study has been effected does not support ontology versioning.…”

Section: Related Work Discussionmentioning

confidence: 99%

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Brahmia

Grandi

Zekri

et al. 2021

J. Info. Know. Mgmt.

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Like other components of Semantic Web-based applications, ontologies are evolving over time to reflect changes in the real world. Several of these applications require keeping a full-fledged history of ontology changes so that both ontology instance versions and their corresponding ontology schema versions are maintained. Updates to an ontology instance could be non-conservative that is leading to a new ontology instance version no longer conforming to the current ontology schema version. If, for some reasons, a non-conservative update has to be executed, in spite of its consequence, it requires the production of a new ontology schema version to which the new ontology instance version is conformant so that the new ontology version produced by the update is globally consistent. In this paper, we first propose an approach that supports ontology schema changes which are triggered by non-conservative updates to ontology instances and, thus, gives rise to an ontology schema versioning driven by instance updates. Note that in an engineering perspective, such an approach can be used as an incremental ontology construction method driven by the modification of instance data, whose exact structure may not be completely known at the initial design time. After that, we apply our proposal to the already established [Formula: see text]OWL (Temporal OWL 2) framework, which allows defining and evolving temporal OWL 2 ontologies in an environment that supports temporal versioning of both ontology instances and ontology schemas, by extending it to also support the management of non-conservative updates to ontology instance versions. Last, we show the feasibility of our approach by dealing with its implementation within a new release of the [Formula: see text] OWL-Manager tool.

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Section: Related Work Discussionmentioning

confidence: 99%

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Brahmia

Grandi

Zekri

et al. 2021

J. Info. Know. Mgmt.

View full text Add to dashboard Cite

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“…The formal model of ontology is based on our previous publications (for example [10]). It distinguishes three main elements.…”

Section: Basic Notionsmentioning

confidence: 99%

Assessing Ontology Mappings on a Level of Concepts and Instances

2020

Self Cite

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In recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required. Currently, there are many solutions for this problem. However, the only known way to evaluate their output is to confront it with some pre-prepared reference alignment, therefore making it impossible to incorporate in real-world applications where no reference alignment is given. This paper presents some innovative methods of evaluating ontology alignments which allows assessing their quality without the aforementioned reference alignment. The main contribution are formal foundations of such methods, algorithms developed based on those foundations, and an experimental verification of their usefulness.

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Methods of managing the evolution of ontologies and their alignments

Pietranik

Kozierkiewicz

2023

Appl Intell

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Nowadays, none can expect that knowledge about some part of reality will not change. Consequently, a representation of such evolving knowledge (for example, ontologies) also changes. Such changes entail that applications incorporating such knowledge may become compromised and yield wrong results. An example of such an application is ontology alignment which can be informally described as a set of connections between two ontologies. Those connections mark elements from two ontologies that relate to the same parts of reality. In changing one of the corresponding ontologies, such connections may become invalid. One may designate the ontology alignment once again from scratch for altered ontologies. However, such an approach is time and resource-consuming. The paper comprehensively presents our ontology evolution and alignment maintenance framework. It can be used to preserve the validity of ontology alignment using only the analysis of changes introduced to maintained ontologies. The precise definition of ontologies is provided, along with a definition of the ontology change log. A set of algorithms that allow revalidating ontology alignments have been built based on such elements.

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Triggering Ontology Alignment Revalidation Based on the Degree of Change Significance on the Ontology Concept Level

Cited by 3 publications

References 13 publications

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Ontology Versioning Driven by Instance Evolution in the τOWL Framework

Assessing Ontology Mappings on a Level of Concepts and Instances

Methods of managing the evolution of ontologies and their alignments

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