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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…

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1693

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

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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

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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

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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

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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…

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1337

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

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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.

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277

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

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Article
Publication date: 16 December 2021

Yu-Jung Cheng and Shu-Lai Chou

This study applies digital humanity tools (Gephi and Protégé) for establishing and visualizing ontologies in the cultural heritage domain. According to that, this study…

Abstract

Purpose

This study applies digital humanity tools (Gephi and Protégé) for establishing and visualizing ontologies in the cultural heritage domain. According to that, this study aims to develop a novel evaluation approach using five ontology indicators (data overview, visual presentation, highlight links, scalability and querying) to evaluate the knowledge structure presentation of cultural heritage ontology.

Design/methodology/approach

The researchers collected and organized 824 pieces of government’s open data (GOD), converted GOD into the resource description framework format, applied Protégé and Gephi to establish and visualize cultural heritage ontology. After ontology is built, this study recruited 60 ontology participants (30 from information and communications technology background; 30 from cultural heritage background) to operate this ontology and gather their different perspectives of visual ontology.

Findings

Based on the ontology participant’s feedback, this study discovered that Gephi is more supporting than Protégé when visualizing ontology. Especially in data overview, visual presentation and highlight links dimensions, which is supported visualization and demonstrated ontology class hierarchy and property relation, facilitated the wider application of ontology.

Originality/value

This study offers two contributions. First, the researchers analyzed data on East Asian architecture with novel digital humanities tools to visualize ontology for cultural heritage. Second, the study collected participant’s feedback regarding the visualized ontology to enhance its design, which can serve as a reference for future ontological development.

Details

The Electronic Library , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 23 November 2021

Hanqing Gong, Lingling Shi, Xiang Zhai, Yimin Du and Zhijing Zhang

The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.

Abstract

Purpose

The purpose of this study is to achieve accurate matching of new process cases to historical process cases and then complete the reuse of process knowledge and assembly experience.

Design/methodology/approach

By integrating case-based reasoning (CBR) and ontology technology, a multilevel assembly ontology is proposed. Under the general framework, the knowledge of the assembly domain is described hierarchically and associatively. On this basis, an assembly process case matching method is developed.

Findings

By fully considering the influence of ontology individual, case structure, assembly scenario and introducing the correction factor, the similarity between non-correlated parts is significantly reduced. Compared with the Triple Matching-Distance Model, the degree of distinction and accuracy of parts matching are effectively improved. Finally, the usefulness of the proposed method is also proved by the matching of four practical assembly cases of precision components.

Originality/value

The process knowledge in historical assembly cases is expressed in a specific ontology framework, which makes up for the defects of the traditional CBR model. The proposed matching method takes into account all aspects of ontology construction and can be used well in cross-ontology similarity calculations.

Details

Assembly Automation, vol. 42 no. 1
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 9 November 2021

Ummul Hanan Mohamad, Mohammad Nazir Ahmad and Ahmad Mujahid Ubaidillah Zakaria

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…

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27

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Online Information Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 16 September 2021

Prashant Kumar Sinha, Sagar Bhimrao Gajbe, Sourav Debnath, Subhranshubhusan Sahoo, Kanu Chakraborty and Shiva Shankar Mahato

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Data Technologies and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9288

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