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The purpose of this paper is to present the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for the Built Cultural Heritage (BCH) domain, more specifically for preventive conservation.

The On-To-Knowledge methodology was applied in the ontology development process. Terms related to preventive conservation were identified by means of a taxonomy which was used later to identify related existing ontologies. Three ontologies were identified and merged, i.e. Geneva City Geographic Markup Language (Geneva CityGML), Monument Damage ontology (Mondis) and CIDOC Conceptual Reference Model (CIDOC-CRM). Additional classes and properties were defined as to provide a complete semantic framework for management of BCH.

A BCH-ontology for preventive conservation was created. It consists of 143 classes from which 38 originate from the Mondis ontology, 38 from Geneva CityGML, 37 from CIDOC-CRM and 30 were newly created. The ontology was applied in a use case related to the New cathedral in the city of Cuenca, Ecuador. Advantages over other type of systems and for the BCH-domain were discussed based on this example.

The proposed ontology is in a testing stage through which a number of its aspects are being verified.

This ontological model is the first one to focus on the preventive conservation of BCH.

The 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.

A 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.

This 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.

This 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.