Measuring Design Complexity of Cultural Heritage Ontologies

Mahria, Bilal Ben; Chaker, Ilham; Zahi, Azeddine

doi:10.5220/0010016501330140

Cited by 2 publications

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“…An analysis of metrics concerning various ontologies was presented by Ben Mahria et al (2020). They analyzed various characteristics of the most commonly used ontologies, with a focus on their complexity.…”

Section: Metricsmentioning

confidence: 99%

“…They provide increased quality of analysis about an entity, interconnection between various entities and can be reused for multiple projects in the same domain or even project, with little to no modification. However, there is no standard ontology to describe CH data as of yet, and they can be difficult to maintain, as they grow and become more complex (Ben Mahria et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

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A review of ontologies for augmented reality cultural heritage applications

Vlachos

Perifanou

Economides

2022

JCHMSD

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PurposeThe purpose of this paper is to review ontologies and data models currently in use for augmented reality (AR) applications, in the cultural heritage (CH) domain, specifically in an urban environment. The aim is to see the current trends in ontologies and data models used and investigate their applications in real world scenarios. Some special cases of applications or ontologies are also discussed, as being interesting enough to merit special consideration.Design/methodology/approachA search using Google Scholar, Scopus, ScienceDirect and IEEE Xplore was done in order to find articles that describe ontologies and data models in AR CH applications. The authors identified the articles that analyze the use of ontologies and/or data models, as well as articles that were deemed to be of special interest.FindingsThis review found that CIDOC-CRM is the most popular ontology closely followed by Historical Context Ontology (HiCO). Also, a combination of current ontologies seems to be the most complete way to fully describe a CH object or site. A layered ontology model is suggested, which can be expanded according to the specific project.Originality/valueThis study provides an overview of ontologies and data models for AR CH applications in urban environments. There are several ontologies currently in use in the CH domain, with none having been universally adopted, while new ontologies or extensions to existing ones are being created, in the attempt to fully describe a CH object or site. Also, this study suggests a combination of popular ontologies in a multi-layer model.

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Section: Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%