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Article
Publication date: 15 February 2008

Tung‐Hsiang Chou, John A. Vassar and Binshan Lin

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…

1716

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Kybernetes, vol. 37 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 12 April 2011

Lukasz Ziemba, Camilo Cornejo and Howard W. Beck

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Research limitations/implications

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.

Originality/value

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.

Details

The Electronic Library, vol. 29 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 11 May 2015

Hyeongi Baek and Mun Koo Kang

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Journal of Systems and Information Technology, vol. 17 no. 2
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 18 November 2013

Toshihiro Uchibayashi, Bernady Apduhan and Norio Shiratori

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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

Originality/value

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.

Details

International Journal of Web Information Systems, vol. 9 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 11 November 2013

Rizwan Iqbal, Aida Mustapha and Zulkifli Mohd. Yusoff

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…

1387

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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

Originality/value

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

Details

Multicultural Education & Technology Journal, vol. 7 no. 4
Type: Research Article
ISSN: 1750-497X

Keywords

Article
Publication date: 28 July 2022

Xiaoyan Jiang, Sai Wang, Yong Liu, Bo Xia, Martin Skitmore, Madhav Nepal and Amir Naser Ghanbaripour

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to…

Abstract

Purpose

With the increasing complexity of public–private partnership (PPP) projects, the amount of data generated during the construction process is massive. This paper aims to develop a new information management method to cope with the risk problems involved in dealing with such data, based on domain ontologies of the construction industry, to help manage PPP risks, share and reuse risk knowledge.

Design/methodology/approach

Risk knowledge concepts are acquired and summarized through PPP failure cases and an extensive literature review to establish a domain framework for risk knowledge using ontology technology to help manage PPP risks.

Findings

The results indicate that the risk ontology is capable of capturing key concepts and relationships involved in managing PPP risks and can be used to facilitate knowledge reuse and storage beneficial to risk management.

Research limitations/implications

The classes in the risk knowledge ontology model constructed in this research do not yet cover all the information in PPP project risks and need to be further extended. Moreover, only the framework and basic methods needed are developed, while the construction of a working ontology model and the relationship between implicit and explicit knowledge is a complicated process that requires repeated modifications and evaluations before it can be implemented.

Practical implications

The ontology provides a basis for turning PPP risk information into risk knowledge to allow the effective sharing and communication of project risks between different project stakeholders. It can also have the potential to help reduce the dependence on subjectivity by mining, using and storing tacit knowledge in the risk management process.

Originality/value

The apparent suitability of the nine classes of PPP risk knowledge (project model, risk type, risk occurrence stage, risk source, risk consequence, risk likelihood, risk carrier, risk management measures and risk case) is identified, and the proposed construction method and steps for a complete domain ontology for PPP risk management are unique. A combination of criteria- and task-based evaluations is also developed for assessing the PPP risk ontology for the first time.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 16 October 2009

Junwu Zhu, Jiandong Wang and Bin Li

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

280

Abstract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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

Practical implications

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

Originality/value

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.

Details

Kybernetes, vol. 38 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 22 July 2022

Ying Tao Chai and Ting-Kwei Wang

Defects in concrete surfaces are inevitably recurring during construction, which needs to be checked and accepted during construction and completion. Traditional manual…

Abstract

Purpose

Defects in concrete surfaces are inevitably recurring during construction, which needs to be checked and accepted during construction and completion. Traditional manual inspection of surface defects requires inspectors to judge, evaluate and make decisions, which requires sufficient experience and is time-consuming and labor-intensive, and the expertise cannot be effectively preserved and transferred. In addition, the evaluation standards of different inspectors are not identical, which may lead to cause discrepancies in inspection results. Although computer vision can achieve defect recognition, there is a gap between the low-level semantics acquired by computer vision and the high-level semantics that humans understand from images. Therefore, computer vision and ontology are combined to achieve intelligent evaluation and decision-making and to bridge the above gap.

Design/methodology/approach

Combining ontology and computer vision, this paper establishes an evaluation and decision-making framework for concrete surface quality. By establishing concrete surface quality ontology model and defect identification quantification model, ontology reasoning technology is used to realize concrete surface quality evaluation and decision-making.

Findings

Computer vision can identify and quantify defects, obtain low-level image semantics, and ontology can structurally express expert knowledge in the field of defects. This proposed framework can automatically identify and quantify defects, and infer the causes, responsibility, severity and repair methods of defects. Through case analysis of various scenarios, the proposed evaluation and decision-making framework is feasible.

Originality/value

This paper establishes an evaluation and decision-making framework for concrete surface quality, so as to improve the standardization and intelligence of surface defect inspection and potentially provide reusable knowledge for inspecting concrete surface quality. The research results in this paper can be used to detect the concrete surface quality, reduce the subjectivity of evaluation and improve the inspection efficiency. In addition, the proposed framework enriches the application scenarios of ontology and computer vision, and to a certain extent bridges the gap between the image features extracted by computer vision and the information that people obtain from images.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 12 April 2022

Yuanmin Li, Dexin Chen and Zehui Zhan

The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC)personalized recommendation method to help…

Abstract

Purpose

The purpose of this study is to analyze from multiple perspectives, so as to form an effective massive open online course (MOOC)personalized recommendation method to help learners efficiently obtain MOOC resources.

Design/methodology/approach

This study introduced ontology construction technology and a new semantic association algorithm to form a new MOOC resource personalized recommendation idea. On the one hand, by constructing a learner model and a MOOC resource ontology model, based on the learner’s characteristics, the learner’s MOOC resource learning preference is predicted, and a recommendation list is formed. On the other hand, the semantic association algorithm is used to calculate the correlation between the MOOC resources to be recommended and the learners’ rated resources and predict the learner’s learning preferences to form a recommendation list. Finally, the two recommendation lists were comprehensively analyzed to form the final MOOC resource personalized recommendation list.

Findings

The semantic association algorithm based on hierarchical correlation analysis and attribute correlation analysis introduced in this study can effectively analyze the semantic similarity between MOOC resources. The hybrid recommendation method that introduces ontology construction technology and performs semantic association analysis can effectively realize the personalized recommendation of MOOC resources.

Originality/value

This study has formed an effective method for personalized recommendation of MOOC resources, solved the problems existing in the personalized recommendation that is, the recommendation relies on the learner’s rating of the resource, the recommendation is specialized, and the knowledge structure of the recommended resource is static, and provides a new idea for connecting MOOC learners and resources.

Details

Interactive Technology and Smart Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-5659

Keywords

Book part
Publication date: 4 November 2014

Geoffrey Edwards, Luc Noreau, Normand Boucher, Patrick Fougeyrollas, Yan Grenier, Bradford J. McFadyen, Ernesto Morales and Claude Vincent

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Environmental Contexts and Disability
Type: Book
ISBN: 978-1-78441-262-3

Keywords

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