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The purpose of this paper is to offer an example of how ontology, such as CIDOC, can be turned into a format from the perspective of an object. In fact, it illustrates the possible semantic analysis of an object description into a view neutral machine‐interpretable form. The aim is to show that a museum object located in a museum can be described in detail and then related to other information objects located in other memory institutions such as libraries and archives.

Studying different documents, all the information about Imam Reza's Zarih 4th was derivated. Then the most important were listed and represented in detail, according to CIDOC CRM entities.

The figures explicitly reveal the existing semantic correlations between the heterogeneous cultural heritage information in various memory institutions, such as Organization of Libraries, Museums and Documents Centre of Astan Quds Razavi.

The authors capture the knowledge from different resources and relate them in a semantic description with the aid of a semantic conceptual model like CIDOC CRM, to show more effective information integration in a cultural institution such as Organization of Libraries, Museums and Documents Centre of Astan Quds Razavi, in order to provide unified access to collection‐level information.

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.

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 present the role and contribution of natural language processing techniques, in particular negation detection and word sense disambiguation in the process of Semantic Annotation of Archaeological Grey Literature. Archaeological reports contain a great deal of information that conveys facts and findings in different ways. This kind of information is highly relevant to the research and analysis of archaeological evidence but at the same time can be a hindrance for the accurate indexing of documents with respect to positive assertions.

The paper presents a method for adapting the biomedicine oriented negation algorithm NegEx to the context of archaeology and discusses the evaluation results of the new modified negation detection module. A particular form of polysemy, which is inflicted by the definition of ontology classes and concerning the semantics of small finds in archaeology, is addressed by a domain specific word-sense disambiguation module.

The performance of the negation dection module is compared against a “Gold Standard” that consists of 300 manually annotated pages of archaeological excavation and evaluation reports. The evaluation results are encouraging, delivering overall 89 per cent precision, 80 per cent recall and 83 per cent F-measure scores. The paper addresses limitations and future improvements of the current work and highlights the need for ontological modelling to accommodate negative assertions.

The discussed NLP modules contribute to the aims of the OPTIMA pipeline delivering an innovative application of such methods in the context of archaeological reports for the semantic annotation of archaeological grey literature with respect to the CIDOC-CRM ontology.

There is a wealth of value hidden in regional cultural heritage, but its preservation status is not optimistic. This study introduces a method that focuses on the inherent cultural value of regional cultural heritage to preserve it by value construction and release.

Based on the great value of regional cultural heritage due to spatial adjacency and temporal continuity, this paper focuses on its inherent cultural value to explore the preservation path and chooses Shichahai cultural heritage digital resources for a case study. This paper draws lessons from the narrative method of ancient Chinese historiography, constructs a cultural space and tells cultural stories. A linked data organization model for digital resources is created to construct a conceptual cultural space. Then, the space is materialized by linked dataset creation. The authors tell cultural stories discovered from the space, which are presented by various user interfaces using visualization technologies.

A cultural space promotes the development of a fine-grained description of regional cultural heritage and aids in relationship discovery to enhance the value construction ability. Additionally, storytelling via interactive user interfaces is helpful in the utilization and dissemination of knowledge extracted from a cultural space and enhances the value release of regional cultural heritage. In this way, a path with the inherent cultural value of regional cultural heritage as the core is established, and preservation is achieved.

This study focuses on the inherent cultural value of regional cultural heritage and proposes a new path to preserve these resources. This approach will enrich research on the preservation of regional cultural heritage and contribute to the construction and release of its cultural value.

The purpose of this study is to review the application of semantic technologies in cultural heritage (STCH) to achieve interoperability and enable advanced applications like 3D modeling and augmented reality by enhancing the understanding and appreciation of CH. The study aims to identify the trends and patterns in using STCH and provide insights for scholars and policymakers on future research directions.

This research paper uses a bibliometric study to analyze the articles published in Scopus and Web of Science (WoS)-indexed journals from 1999 to 2022 on STCH. A total of 580 articles were analyzed using the Biblioshiny package in RStudio.

The study reveals a substantial increase in STCH publications since 2008, with Italy leading in contributions. Key research areas such as ontologies, semantic Web, linked data and digital humanities are extensively explored, highlighting their significance and characteristics within the STCH research domain.

This study only analyzed articles published in Scopus and WoS-indexed journals in the English language. Further research could include articles published in other languages and non-indexed journals.

This study extensively analyses the research published on STCH over the past 23 years, identifying the leading authors, institutions, countries and top research topics. The findings provide guidelines for future research direction and contribute to the literature on promoting, preserving and managing the CH globally.

This study aims to explore a way of representing historical collections by examining the features of an event in historical documents and building an event-based ontology model.

To align with a domain-specific and upper ontology, the Basic Formal Ontology (BFO) model is adopted. Based on BFO, an event-based ontology for historical description (EOHD) is designed. To define events, event-related vocabularies are taken from the Library of Congress’ event types (2012). The three types of history and six kinds of changes are defined.

The EOHD model demonstrates how to apply the event ontology to biographical sketches of a creator history to link event types.

The EOHD model has great potential to be further expanded to specific events and entities through different types of history in a full set of historical documents.

The EOHD provides a framework for modeling and semantically reforming the relationships of historical documents, which can make historical collections more explicitly connected in Web environments.

This paper seeks to adopt FRBRoo as an ontological approach to integrate heterogeneous metadata, and transform human-understandable format into machine-understandable format for semantic query.

Two cases of use with museum artefacts and literary works were exploited to illustrate how FRBRoo can be used to re-contextualize the semantics of elements and the semantic relationships embedded in those elements. The shared ontology was then RDFized and examples were explored to examine the feasibility of the proposed approach.

FRBRoo can play a role as inter lingua aligning museum and library metadata to achieve heterogeneous metadata integration and semantic query without changing either of the original approaches to fit the other.

Exploration of more diverse use cases is required to further align the different approaches of museums and libraries using FRBRoo and make revisions.

Solid evidence is provided for the use of FRBRoo in heterogeneous metadata integration and semantic query.

This is the first study to elaborate how FRBRoo can play a role as a shared ontology to integrate the heterogeneous metadata generated by museums and libraries. This paper also shows how the proposed approach is distinct from the Dublin Core format crosswalk in re-contextualizing semantic meanings and their relationships, and further provides four new sub-types for mapping description language.

This study aims to the OQuaRE quality model to the developed methodology.

Ontologies are formal, well-defined and flexible representations of knowledge related to a specific domain. They provide the base to develop efficient and interoperable solutions. Hence, a proliferation of ontologies in many domains is unleashed. Then, it is necessary to define how to compare such ontologies to decide which one is the most suitable for the specific needs of users/developers. As the emerging development of ontologies, several studies have proposed criteria to evaluate them.

In a previous study, the authors propose a methodological process to qualitatively and quantitatively compare ontologies at Lexical, Structural and Domain Knowledge levels, considering correctness and quality perspectives. As the evaluation methods of the proposal are based on a golden-standard, it can be customized to compare ontologies in any domain.

To show the suitability of the proposal, the authors apply the methodological approach to conduct comparative studies of ontologies in two different domains, one in the robotic area, in particular for the simultaneous localization and mapping (SLAM) problem; and the other one, in the cultural heritage domain. With these cases of study, the authors demonstrate that with this methodological comparative process, we are able to identify the strengths and weaknesses of ontologies, as well as the gaps still needed to fill in the target domains.

Using these metrics and the quality model from OQuaRE, the authors are incorporating a standard of software engineering at the quality validation into the Semantic Web.

The purpose of this paper is to present functional requirements for bibliographic records (FRBR)‐based model and functional requirements for authority data (FRAD)‐based model; both of which incorporate an event concept that transforms FRBR and FRAD with minimal modification.

Relationships between the entities defined in FRBR/FRAD are transformed into event entities and relationships with other kinds of entities. The cardinality of those relationships is also examined. In addition, a comparison of the proposed FRBR‐based model with the object‐oriented FRBR (FRBR_OO) is conducted.

In the proposed event‐aware FRBR model, an event and its output resource are dependent on each other and necessary information about an event can be expressed with information about its output resource, and vice versa. Therefore, the usefulness and expressiveness of the proposed model is limited. In the FRBR_OO model, dependency between an event and its output resource is not observed, except in a few cases, since a different resource and event modeling was adopted there. The event‐aware FRAD model proposed is useful – but also the scope of its usefulness limited since dependency between an event and its input/output resource is not observed on some event entities.

The proposed models are meaningful in terms of understanding the basic structure and features of a model that incorporates an event concept. The usefulness and limitation of event modeling have been clarified through such model building. The proposed models provide a stable basis for examining FRBR/FRAD further.