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1 – 10 of over 4000
Article
Publication date: 31 July 2020

Sanju Tiwari and Ajith Abraham

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of…

Abstract

Purpose

Health-care ontologies and their terminologies play a vital role in knowledge representation and data integration for health information. In health-care systems, Internet of Technology (IoT) technologies provide data exchange among various entities and ontologies offer a formal description to present the knowledge of health-care domains. These ontologies are advised to assure the quality of their adoption and applicability in the real world.

Design/methodology/approach

Ontology assessment is an integral part of ontology construction and maintenance. It is always performed to identify inconsistencies and modeling errors by the experts during the ontology development. A smart health-care ontology (SHCO) has been designed to deal with health-care information and IoT devices. In this paper, an integrated approach has been proposed to assess the SHCO on different assessment tools such as Themis, Test-Driven Development (TDD)onto, Protégé and OOPs! Several test cases are framed to assess the ontology on these tools, in this research, Themis and TDDonto tools provide the verification for the test cases while Protégé and OOPs! provides validation of modeled knowledge in the ontology.

Findings

As of the best knowledge, no other study has been presented earlier to conduct the integrated assessment on different tools. All test cases are successfully analyzed on these tools and results are drawn and compared with other ontologies.

Originality/value

The developed ontology is analyzed on different verification and validation tools to assure the quality of ontologies.

Details

International Journal of Web Information Systems, vol. 16 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 30 July 2019

Seonghun Kim and Sam G. Oh

The purpose of this paper is to formulate apposite criteria for ontology evaluation and test them through assessments of existing ontologies.

Abstract

Purpose

The purpose of this paper is to formulate apposite criteria for ontology evaluation and test them through assessments of existing ontologies.

Design/methodology/approach

A literature review provided the basis from which to extract the categories relevant to an evaluation of internal ontology components. According to the ontology evaluation categories, a panel of experts provided the evaluation criteria for each category via Delphi survey. Reliability was gauged by applying the criteria to assessments of existing smartphone ontologies.

Findings

Existing research tends to approach ontology evaluation through comparison with well-engineered ontologies, implementation in target applications and appropriateness/interconnection appraisals in relation to raw data, but such methodologies fall short of shedding light on the internal workings of ontologies, such as structure, semantic representation and interoperability. This study adopts its evaluation categories from previous research while also collecting concrete evaluation criteria from an expert panel and verifying the reliability of the resulting 53 criteria.

Originality/value

This is the first published study to extract ontology evaluation criteria in terms of syntax, semantics and pragmatics. The results can be used as an evaluation index following ontology construction.

Details

Library Hi Tech, vol. 37 no. 3
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 19 February 2020

Marija Cubric and Milorad Tosic

The recent rise in online knowledge repositories and use of formalism for structuring knowledge, such as ontologies, has provided necessary conditions for the emergence of tools…

Abstract

Purpose

The recent rise in online knowledge repositories and use of formalism for structuring knowledge, such as ontologies, has provided necessary conditions for the emergence of tools for generating knowledge assessment. These tools can be used in a context of interactive computer-assisted assessment (CAA) to provide a cost-effective solution for prompt feedback and increased learner’s engagement. The purpose of this paper is to describe and evaluate a tool developed by the authors, which generates test questions from an arbitrary domain ontology, based on sound pedagogical principles encapsulated in Bloom’s taxonomy.

Design/methodology/approach

This paper uses design science as a framework for presenting the research. A total of 5,230 questions were generated from 90 different ontologies and 81 randomly selected questions were evaluated by 8 CAA experts. Data were analysed using descriptive statistics and Kruskal–Wallis test for non-parametric analysis of variance.

Findings

In total, 69 per cent of generated questions were found to be useable for tests and 33 per cent to be of medium to high difficulty. Significant differences in quality of generated questions were found across different ontologies, strategies for generating distractors and Bloom’s question levels: the questions testing application of knowledge and the questions using semantic strategies were perceived to be of the highest quality.

Originality/value

The paper extends the current work in the area of automated test generation in three important directions: it introduces an open-source, web-based tool available to other researchers for experimentation purposes; it recommends practical guidelines for development of similar tools; and it proposes a set of criteria and standard format for future evaluation of similar systems.

Details

Interactive Technology and Smart Education, vol. 17 no. 2
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 4 August 2023

Can Uzun and Raşit Eren Cangür

This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative…

Abstract

Purpose

This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative adversarial network in representing building knowledge.

Design/methodology/approach

The proposed ontological assessment consists of five steps. These are, respectively, creating an architectural data set, developing ontology for the architectural data set, training the You Only Look Once object detection with labels within the proposed ontology, training the StyleGAN algorithm with the images in the data set and finally, detecting the ontological labels and calculating the ontological relations of StyleGAN-generated pixel-based architectural images. The authors propose and calculate ontological identity and ontological inclusion metrics to assess the StyleGAN-generated ontological labels. This study uses 300 bay window images as an architectural data set for the ontological assessment experiments.

Findings

The ontological assessment provides semantic-based queries on StyleGAN-generated architectural images by checking the validity of the building knowledge representation. Moreover, this ontological validity reveals the building element label-specific failure and success rates simultaneously.

Originality/value

This study contributes to the assessment process of the generative adversarial networks through ontological validity checks rather than only conducting pixel-based similarity checks; semantic-based queries can introduce the GAN-generated, pixel-based building elements into the architecture, engineering and construction industry.

Details

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

Keywords

Article
Publication date: 11 July 2023

Khadija Echefaj, Abdelkabir Charkaoui, Anass Cherrafi, Jose Arturo Garza-Reyes, Syed Abdul Rehman Khan and Abla Chaouni Benabdellah

Selecting the optimal supplier is a challenging managerial decision that involves several dimensions that vary over time. Despite the considerable attention devoted to this issue…

Abstract

Purpose

Selecting the optimal supplier is a challenging managerial decision that involves several dimensions that vary over time. Despite the considerable attention devoted to this issue, knowledge is required to be updated and analyzed in this field. This paper reveals new opportunities to advance supplier selection (SS) research from a multidimensional perspective. Moreover, this study aims to formalise SS knowledge to enable the appropriate selection of sustainable, resilient and circular criteria.

Design/methodology/approach

This study is developed in two stages: first, a systematic literature review is conducted to select relevant papers. Descriptive and thematic analyses are employed to analyze criteria, solving approaches and case studies. Second, a criterion knowledge-based framework is developed and validated by experts to be implemented as ontology using Protégé software.

Findings

Evaluating the viability of suppliers need further studies to integrate other criteria and to align SS objectives with research advancement. Artificial intelligence tools are needed to revolutionize and optimize the traditional techniques used to solve this problem. Literature lucks frameworks for specific sectors. The proposed ontology provides a consistent criteria knowledge base.

Practical implications

For academics, the results of this study highlight opportunities to improve the viable SS process. From a managerial perspective, the proposed ontology can assist managers in selecting the appropriate criteria. Future works can enrich the proposed ontology and integrate this knowledge base into an information system.

Originality/value

This study contributes to promoting knowledge about viable SS. Capitalizing the knowledge base of criteria in a computer-interpretable manner supports the digitalization of this critical decision.

Details

Management of Environmental Quality: An International Journal, vol. 34 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 3 October 2023

Shao-Fang Wen and Basel Katt

Security assurance evaluation (SAE) is a well-established approach for assessing the effectiveness of security measures in systems. However, one aspect that is often overlooked in…

Abstract

Purpose

Security assurance evaluation (SAE) is a well-established approach for assessing the effectiveness of security measures in systems. However, one aspect that is often overlooked in these evaluations is the assurance context in which they are conducted. This paper aims to explore the role of assurance context in system SAEs and proposes a conceptual model to integrate the assurance context into the evaluation process.

Design/methodology/approach

The conceptual model highlights the interrelationships between the various elements of the assurance context, including system boundaries, stakeholders, security concerns, regulatory compliance and assurance assumptions and regulatory compliance.

Findings

By introducing the proposed conceptual model, this research provides a framework for incorporating the assurance context into SAEs and offers insights into how it can influence the evaluation outcomes.

Originality/value

By delving into the concept of assurance context, this research seeks to shed light on how it influences the scope, methodologies and outcomes of assurance evaluations, ultimately enabling organizations to strengthen their system security postures and mitigate risks effectively.

Details

Information & Computer Security, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 16 February 2024

Harshad Sonar, Isha Sharma, Nikhil Ghag and Bhagyashri Raje

The agri-food industry is experiencing a revolutionary shift due to the introduction of Industry 4.0 technologies to improve efficiency, transparency and sustainability. The…

Abstract

Purpose

The agri-food industry is experiencing a revolutionary shift due to the introduction of Industry 4.0 technologies to improve efficiency, transparency and sustainability. The importance of agri-food supply chains (AFSC) in promoting sustainability is expanding as the globe struggles with issues including resource scarcity, climate change and population growth. In order to better understand how Industry 4.0 might improve sustainability in a world that is changing quickly, this work aims to focus on identifying various sustainability assessment factors influencing AFSC to increase overall sustainability, minimize resource consumption, cut waste and streamline operations.

Design/methodology/approach

Important sustainability assessment factors are identified from the past academic literature and are then validated using the fuzzy-Delphi method. A method called decision-making trial and evaluation laboratory (DEMATEL) is used to examine and analyze structural models with complex causal linkages. The results are then validated using sensitivity analysis.

Findings

The factors that emerged as the highest ranked for evaluating the sustainability of Industry 4.0 in AFSC are market competitiveness, and knowledge and skill development, followed by resource efficiency. Industry 4.0 technologies are essential for increasing the marketability of agricultural products because of the major implications of market competitiveness. The significance of knowledge and skill development draws attention to Industry 4.0’s contribution to the promotion of chances for farmers and agricultural employees to increase their capability.

Practical implications

By outlining the nexus between Industry 4.0 technologies and sustainability, the study presents a comprehensive framework that would be relevant for researchers, policymakers and industry stakeholders who want to leverage Industry 4.0 technology to build more sustainable AFSC in the future. The study findings can help the farmers or producers make sensible choices that adhere to sustainability standards and guarantee long-term financial viability.

Originality/value

The originality of this work lies in the identification of sustainability assessment factors especially for AFSC in the era of digitalization which has not been discussed previously.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 22 November 2011

Edelweis Rohrer, Regina Motz and Alicia Diaz

Web site recommendation systems help to get high quality information. The modelling of recommendation systems involves the combination of many features: metrics of quality…

Abstract

Purpose

Web site recommendation systems help to get high quality information. The modelling of recommendation systems involves the combination of many features: metrics of quality, quality criteria, recommendation criteria, user profile, and specific domain concepts, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of these features. The purpose of this paper is to model a web site quality‐based recommendation system by an ontology network.

Design/methodology/approach

In this paper, the authors propose an ontology network based process for web site recommendation modelling. The ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Particularly, this approach is illustrated for the health domain.

Findings

Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria.

Originality/value

Recommendation systems based on ontologies that model the user profile and the domain of resources to be recommended are quite common. However, it is uncommon to find models that explicitly represent the criteria used by the recommender systems, that express the quality dimensions of resources and on which criteria are applied, and consider the user context at the moment of the query.

Details

International Journal of Web Information Systems, vol. 7 no. 4
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 24 October 2008

Monika Lanzenberger, Jennifer J. Sampson, Markus Rester, Yannick Naudet and Thibaud Latour

By providing interoperability users can be supported in sharing and reusing vocabularies and knowledge. Ontology alignment plays an important role in the context of semantic

1742

Abstract

Purpose

By providing interoperability users can be supported in sharing and reusing vocabularies and knowledge. Ontology alignment plays an important role in the context of semantic interoperability. Usually ontology alignment tools generate results that are difficult to understand or assess. In order to enable users to check and improve alignment results and to understand their consequences information visualization techniques are used. The purpose of this paper is to discuss the relevant quality aspects in ontology alignment as well as current activities and available tools.

Design/methodology/approach

Based on a literature study quality measures for ontology alignment identified and requirements for visual ontology alignment are defined. As a proof of concepts a prototype called AlViz was developed.

Findings

Information visualization offers appropriate methods for the assessment of ontology alignment results. Different levels of detail and overview help users to navigate and understand the alignments. The assessment of semi‐structured resources by users involves learning activities. The neighborhood of the entity under investigation bears relevant semantic information. Therefore, assessment may include crisscrossing acquisition of knowledge representations and their semantics.

Originality/value

Along a comprehensive framework alignment assessment tasks are identified and visualization tool is introduced and applied which aims at making ontology alignment results manageable and comprehensible.

Details

Journal of Knowledge Management, vol. 12 no. 6
Type: Research Article
ISSN: 1367-3270

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 of what…

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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