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This paper seeks to develop an ontological approach, in order to make it possible to share a common understanding of accounting theory, in this case, the specific structure of the profit and loss account among people or software agents.

This paper presents an ontology methodology (the Net technique) which represents a semi‐structured element in the domain knowledge of accounting. More specifically, ontology will be used to explain the profit and loss account as a representation of the potential use of this methodology.

To support ontology effectively, a strong accounting information support system in the organization is necessary. The ontology may be used by employees to navigate the information repository of an organization for the effective coordination. In addition, it might be possible for the WWW to be used to generate data, information and knowledge in the accounting domain.

Software agents could extract and aggregate accounting information from numerous web sites, which in turn might answer research questions or be used as input data for other applications.

The development of ontology expands the researcher's ability to generate information by using search methods beyond simple keywords. If only keywords are used in internet searches, then information that is retrieved will often lack the precision necessary for generating quality information. Therefore, in order to retrieve quality information more quickly and accurately, a broader and more extensive ontology development is required.

The paper's aims is to present research that evaluates a technology that assists in organizing and retrieving knowledge stored in a variety of forms (books, papers, models, decision support systems, databases) through a real world application.

Ontology has been used to manage the Water Conservation Digital Library in Florida, USA, which holds a dynamic collection of various types of digital resources in the domain of urban water conservation. The ontology based back‐end powers a fully operational web interface, available at: http://library.conservefloridawater.org Findings – The system has demonstrated numerous benefits of the ontology application, including easier and more precise finding of resources, information sharing and reuse, and has proved to effectively facilitate information management.

A large and dynamic number of concepts makes it difficult to keep the ontology consistent and to accurately manually catalog resources. To address these issues, ongoing research focuses on the area of information extraction with the aid of natural language processing techniques.

The paper presents a real‐world‐verified application of ontology to a digital library. It may be of potential interest for anyone who needs to effectively manage a collection of digital resources.

The purpose of this study was to construct a mind counseling ontology to efficiently facilitate the diagnosis of the diseases of mind. To determine the structure of mind counseling ontology, this study conducted analysis on structural forms available in counseling books and other related fields and adopted essential ones in the explanation of counseling. The processing of the diseases of mind was divided into three stages: cause, symptoms and counseling. The stages were analyzed one by one in terms of process, functional elements and relevant technique necessary at each stage.

In the mind counseling list, there are 12 different diagnoses of diseases of mind that are classified into four classes. Thus, the causes, symptoms, prescription and medical history for 12 diseases of mind are defined as a higher rank concept of mind counseling ontology. The causes, symptoms, prescription and medical history consist of definition, affective characteristics and related factors, while the potential diagnosis consists of definition and risk factor. This information does specify detailed notions in the diagnosis of diseases of mind, but considering the limitation of not being able to represent all the diseases, this study enables a counseling center to give and use individual definitions of diagnostic terminology of their own.

This study adopted the top-down approach, in which mind counseling ontology defines a higher rank concept, the terminology in diagnosing diseases of mind, based on the list of terms from the counseling record that specifies the abstract concepts of the diagnosis. The bottom-up approach was also incorporated, which defines the diagnostic terms extracted from the counseling record as a subordinate concept of the mind counseling ontology. Thus, the development of the mind counseling ontology involves the combination of top-down and bottom-up approaches to the construction of ontology.

This research has significance in that it deals with the fundamental problem of the mind aiming for a true change and healing of it, which is the ultimate purpose of this ontology, especially in the circumstances where research on ontology in diagnosing the diseases of mind is unprecedented.

Hybrid cloud computing is considered a viable and cost-effective approach to satisfy the inability of a private cloud to meet the user requirements. The information status of the selected public cloud service may change at runtime which should be reflected at the broker server database. This research illustrates a mechanism to assist the IaaS discovery system to assess the status change of the selected public cloud service and to update the broker server database. The paper aims to discuss these issues.

A prototype was developed with the broker server as the main component in the service discovery system containing the status information of the selected public cloud service. The merge-ontology and patch-update methods were proposed, the processing cost details of each were measured, and the methods were evaluated.

Experimental results showed that in the merge update, the merging process incurred much longer time than its required communication, contributing to long overall time. Relatively, the patch update method incurred much less time than its counterpart.

The proposed mechanism is experimental with some ideal assumptions, and so further work in real conditions is needed for its improvement.

This research is believed to be the first proposal to investigate ontology merge/patch methods to support ontology update in the broker server database of a hybrid cloud and will serve as a reference to researchers in the field.

Ontologies play an important role in enabling machines to understand and navigate a knowledge base. Currently, a number of ontologies covering specific topic in the Quran have been created to serve a particular application. However, these existing Quran ontologies are limited in scope and knowledge. Specifically, existing ontologies do not support contextual information that is considered necessary for correct interpretation of the verses of Quran. The paper aims to discuss these issues.

In order to fill this gap, this paper reports development of an ontology for Juz' Amma that encapsulates contextual information support, which are the translations, revelations place, tafsir, and hadiths.

The developed ontology was evaluated and was found to satisfy the requirements specification.

In addition, this ontology can be reused and further enhanced to support many Quran-related semantic applications in the future.

The purpose of this paper is to integrate distributed ontologies on the web system and clarify the structure of the integrated one.

A formal method based on concept lattices is introduced as a mechanism to form more general semantic level. By checking the extension and the intension of concept, this method extracts the concept pairs satisfying inclusion relations from descartes' set of concepts in distributed ontologies first, and then constructs a concept lattice according to these concept pairs. An algorithm to reduce redundant relations is also proposed to clarify the structure of integrated ontology.

The experiments demonstrate the effectiveness of the proposed method to reduce redundant relations, and the Nir‐to‐Ncr ratio inclines to 1.05 from 3.13.

Instances of certain concept are not given completely on the web, so it is difficult to check extension of different concepts.

A very useful method of integrating distributed ontologies on the web.

Compared with existing methods, this formal method can be performed by program automatically without any human intervening, and can extract the inclusion relations between concepts from distributed ontologies completely.

The purpose of this study is to develop a domain independent, cost-effective, time-saving and semi-automated ontology generation framework that could extract taxonomic concepts from unstructured text corpus. In the human disease domain, ontologies are found to be extremely useful for managing the diversity of technical expressions in favour of information retrieval objectives. The boundaries of these domains are expanding so fast that it is essential to continuously develop new ontologies or upgrade available ones.

This paper proposes a semi-automated approach that extracts entities/relations via text mining of scientific publications. Text mining-based ontology (TmbOnt)-named code is generated to assist a user in capturing, processing and establishing ontology elements. This code takes a pile of unstructured text files as input and projects them into high-valued entities or relations as output. As a semi-automated approach, a user supervises the process, filters meaningful predecessor/successor phrases and finalizes the demanded ontology-taxonomy. To verify the practical capabilities of the scheme, a case study was performed to drive glaucoma ontology-taxonomy. For this purpose, text files containing 10,000 records were collected from PubMed.

The proposed approach processed over 3.8 million tokenized terms of those records and yielded the resultant glaucoma ontology-taxonomy. Compared with two famous disease ontologies, TmbOnt-driven taxonomy demonstrated a 60%–100% coverage ratio against famous medical thesauruses and ontology taxonomies, such as Human Disease Ontology, Medical Subject Headings and National Cancer Institute Thesaurus, with an average of 70% additional terms recommended for ontology development.

According to the literature, the proposed scheme demonstrated novel capability in expanding the ontology-taxonomy structure with a semi-automated text mining approach, aiming for future fully-automated approaches.

The purpose of this research is to develop a framework of an ontology-based Asset Information Model (AIM) for a Digital Twin (DT) platform and enhance predictive maintenance practices in building facilities that could enable proactive and data-driven decision-making during the Operation and Maintenance (O&M) process.

A scoping literature review was accomplished to establish the theoretical foundation for the current investigation. A study on developing an ontology-based AIM for predictive maintenance in building facilities was conducted. Semi-structured interviews were conducted with industry professionals to gather qualitative data for ontology-based AIM framework validation and insights.

The research findings indicate that while the development of ontology faced challenges in defining missing entities and relations in the context of predictive maintenance, insights gained from the interviews enabled the establishment of a comprehensive framework for ontology-based AIM adoption in the Facility Management (FM) sector.

The proposed ontology-based AIM has the potential to enable proactive and data-driven decision-making during the process, optimizing predictive maintenance practices and ultimately enhancing energy efficiency and sustainability in the building industry.

The research contributes to a practical guide for ontology development processes and presents a framework of an Ontology-based AIM for a Digital Twin platform.

Since the mid-1990s, the social model of disability has come under scrutiny. Several researchers have examined the role of ontology (philosophical ideas about the nature of what it means to be human) in relation to disability. In this paper, we situate this burgeoning understanding of disability within the set of post-cartesian ontologies, which disrupt the separation of the mind from the body and its attendant dichotomies. Furthermore, we seek to show how such a change can carry through to the research paradigm and therefore affect tangible outcomes of disability research.

A commitment to an embodied ontology requires first and foremost that researchers rethink what is being studied by focusing on the diverse characteristics of being and its actualization within the world. This will involve an emphasis on the lived experience of the body, including issues of affect, identity and movement, as well as broader issues of embodied being.

Using a research program currently underway at the Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) as a detailed example, we draw on the ontological framework to help articulate the way research can be re-organized. We show how projects at different scales can be brought to work together, and highlight how a focus on embodiment issues facilitates such multi-disciplinary, inter-project collaboration. We note that adopting such an ontology-based framework will accomplish three major outcomes: (1) increase the relevance and effectiveness of new projects with regard to the overall vision; (2) enhance cross-project synergies and ensure stronger ties between research and practice; and (3) contribute to shifting the underlying ontology from a more cartesian approach to a post-cartesian embodied perspective.

The new ontologies embrace, integrate and extend the earlier social and biomedical perspectives, and offer a critical perspective on technology. The embodied approach recognizes not only the embodiment of research subjects, but also the embodied experience of the researchers themselves. In addition, the approach leads to a more holistic organization of research within a global, interconnected structure of projects rather than simply a collection of separate projects organized into thematic areas, as was done in previous decades. This reorganization of research enhances the ability to engage academic researchers with practitioners not just in the hospital and clinical settings, but also within the wider community.

This chapter offers a critique of the affirmative forms of thought that attempt to ground the ontology of social being through subjective-idealist terms. Some recent examples came in the form of notion of truth grounded in subjects' experience and in rationality of language and discourse. The first part of the chapter demonstrates the perilous implications of such an approach for social theory tasked with ontology and for the conception of truth necessary for its task. The second part scrutinizes the paradigm of society that stems from this subjective-idealist notion of truth and social ontology that adopts discourse, language, and literary metaphors to comprehend social being. As an alternative, the final part of the chapter offers a preliminary sketch of the relation of ontology, normativity, and mediation, as well as the notion of critique necessary for social theory tasked with ontology.