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In this chapter, we focus on the three examples of ‘destructive’ art by contemporary artists Ai Weiwei, Michael Landy and Banksy to unpack issues of dematerialisation. By adopting the lens of object-oriented ontology, we reveal the hidden agency of artworks as objects. We find that artworks are charismatic objects that are alive to infinite possibilities and interpretations. As this meaning changes over time, we argue that any attempt at measuring or pinpointing cultural value is bound to fail. Instead, we suggest a need for further consideration of how art can operate as a hypo-object, presenting us with new perspectives on the world.

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.

The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.

It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.

This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.

This article presents a case study on the Heritage Building Information Modeling (H-BIM) application in a historic village in Bursa, Turkey. The study addresses how tailor-made and highly structured H-BIM approaches can effectively be implemented in preservation applications for historic vernacular buildings in the rural architecture context.

Using inexpensive digital photogrammetry techniques tightly combined with an object-oriented BIM ontology, parametric meta-modeling and object/system propagation methods, the study employed a holistic H-BIM approach for capturing the materiality, building object behaviors and indigenous construction principles of a characteristic vernacular house that were synthesized in a parametric H-BIM model. The followed stages, steps and connected methods were systematized and articulated in a prototypical H-BIM implementation framework.

The study findings suggested that the developed parametric H-BIM approach can return effective results with the combined use of low-cost and practical digital photogrammetry with BIM methods. The flexibility and adaptability of the parametric H-BIM implementation framework facilitated the synthesis of a comprehensive H-BIM model and allowed an in-depth evaluation of local architectural heritage with its physical, spatial and environmental characteristics. The proposed H-BIM approach also provided significant documentation and system-specific assessment benefits for preserving the vernacular examples which are prone to extinction especially due to structural and systemic deterioration.

The study proposes a feasible, practical and replicable H-BIM implementation methodology for vernacular preservation applications. The knowledge-embedded H-BIM approach, flows and techniques presented in this study provide a holistic and systematic H-BIM framework – with the integrated use of digital photogrammetry and parametric meta-modeling methods – that has the potential for the democratization of H-BIM applications in education and practice.

To explore the potential impact of Shiyali Ramamrita Ranganathan's classification theories on the accessibility and exposure of digital repository content.

Conceptual analysis of: faceted classification schemes; the symantic web; object‐oriented analysis, design and programming; and digital repository content.

With the rapid proliferation of digital repositories and digital archives comes the need for appropriate and flexible classification schemes that can be implemented in conjunction with current technology such as object‐oriented programming techniques. Shivali Ranganathan was a forerunner in the area of classification systems, and developed a classification system, which is very suited to the need at hand: faceted classification. This column explores the relationship between Ranganathan's theories and their potential use in the contemporary digital library context (specifically digital repositories).

Ranganathan's methodology may help libraries to expose digital repository content on a larger scale within a very flexible and forward‐looking framework. This will allow libraries to anticipate the development of the semantic web and become key players in this environment.

Suggests a theoretical framework for describing and syndicating digital repository content, which is flexible and anticipatory in nature, based on the work of Shiyali Ranganathan.

There is an increasing recognition of the value of effective information and knowledge management (KM) in the construction project delivery process. Many architecture, engineering and construction (AEC) organisations have invested heavily in information technology and KM systems that help in this regard. While these have been largely successful in supporting intra‐organisational business processes, interoperability problems still persist at the project organisation level due to the heterogeneity of the systems used by the different organisations involved. Ontologies are seen as an important means of addressing these problems. The purpose of this paper is to explore the role of ontologies in the construction project delivery process, particularly with respect to information and KM.

A detailed technical review of the fundamental concepts and related work has been undertaken, with examples and case studies of ontology‐based information and KM presented to illustrate the key concepts. The specific issues and technical difficulties in the design and construction context are highlighted, and the approaches adopted in two ontology‐based applications for the AEC sector are presented.

The paper concludes that there is considerable merit in ontology‐based approaches to information and KM, but that significant technical challenges remain. Middleware applications, such as semantic web‐based information management system, are contributing in this regard but more needs to be done particularly on integrating or merging ontologies.

The value of the paper lies in the detailed exploration of ontology‐based information and KM within a design and construction context, and the use of appropriate examples and applications to illustrate the key issues.

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.

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization.

The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning.

This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.

By engaging with recent debates between management historians over social constructionism, this paper aims to show the merits of adopting a new realist ontology of the business enterprise. In contrast with ANTi-History, the purpose is to provide a philosophically rigorous conception of social objects and to argue that enterprises are a member of this category.

Insights from Maurizio Ferraris’s documentality theory and Graham Harman’s philosophy of social objects are used to identify the ontological forming ground and developmental pathway of an Antipodean stevedoring company that operated prior to the deregulation of New Zealand’s ports in 1989.

With regard to social entities in general and firms in particular, continental philosophy’s resurgent realist movement provides a history-aware social ontology that incorporates the grain of truth lying within social constructionism. As exemplified by the writings of Ferraris and Harman, realism provides a viable conception of social objects and, in so doing, a more coherent ontological foundation for the business enterprise than the relational ontology embraced by management history ANTians.

By drawing on two realist perspectives hitherto neglected by management historians, this paper resolves disagreements about the ontology of the business enterprise.

This systematic literature review (SLR) paper presents the overview and analysis of the existing ontologies application in the SE domain. It discusses the main challenges in terms of its ontologies development and highlights the key knowledge areas for subdomains in the SE domain that provides a direction to develop ontologies application for SE systematically. The SE is not as straightforward as the traditional economy. It transforms the existing economy ecosystem through peer-to-peer collaborations mediated by the technology. Hence, the complexity of the SE domain accentuates the need to make the SE domain knowledge more explicit.

For the review, the authors only focus on the journal articles published from 2010 to 2020 and mentioned ontology as a solution to overcome the issues specific for the SE domain. The initial identification process produced 3,326 papers from 10 different databases.

After applying the inclusion and exclusion criteria, a final set of 11 articles were then analyzed and classified. In SE, good ontology design and development is essential to manage digital platforms, deal with data heterogeneity and govern the interoperability of the SE systems. Yet the preference to build an application ontology, lack of perdurant design and minimal use of the existing standard for building SE common knowledge are deterring the ontology development in this domain. From this review, an anatomy of the SE key subdomain areas is visualized as a reference to further develop the domain ontology for the SE domain systematically.

With the arrival of the Fourth Industrial Revolution (4IR), the sharing economy (SE) has become one of the important domains whose impact has been explosive, and its domain knowledge is complex. Yet, a comprehensive overview and analysis of the ontology applications in the SE domain is not available or well presented to the research community.