IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v14y2022i6p161-d823977.html
   My bibliography  Save this article

Charting Past, Present, and Future Research in the Semantic Web and Interoperability

Author

Listed:
  • Abderahman Rejeb

    (Department of Management and Law, Faculty of Economics, University of Rome Tor Vergata, Via Columbia, 2, 00133 Rome, Italy)

  • John G. Keogh

    (McGill Centre for the Convergence of Health and Economics (MCCHE), Montreal, QC H3C 3J7, Canada)

  • Wayne Martindale

    (National Centre for Food Manufacturing, Centre of Excellence Technology Park, University of Lincoln, Holbeach, Spalding PE12 7LD, UK)

  • Damion Dooley

    (Centre for Infectious Disease Genomics and One Health, Simon Fraser University, Burnaby, BC V5A 1S6, Canada)

  • Edward Smart

    (Institute of Industrial Research, University of Portsmouth, Portsmouth PO1 2DY, UK)

  • Steven Simske

    (Systems Engineering Department, Colorado State University, Fort Collins, CO 80523, USA)

  • Samuel Fosso Wamba

    (Department of Information, Operations and Management Sciences, Toulouse Business School, 31068 Toulouse, France)

  • John G. Breslin

    (Data Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland)

  • Kosala Yapa Bandara

    (Data Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland)

  • Subhasis Thakur

    (Data Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland)

  • Kelly Liu

    (McGill MCCHE Summer Research Intern Program, Montreal, QC H2Y 2E7, Canada)

  • Bridgette Crowley

    (McGill MCCHE Summer Research Intern Program, Montreal, QC H2Y 2E7, Canada)

  • Sowmya Desaraju

    (McGill MCCHE Summer Research Intern Program, Montreal, QC H2Y 2E7, Canada)

  • Angela Ospina

    (Institut D’études Européennes (IEE), Université Libre de Bruxelles, 1050 Brussels, Belgium)

  • Horia Bradau

    (McGill Centre for the Convergence of Health and Economics (MCCHE), Montreal, QC H3C 3J7, Canada)

Abstract

Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field.

Suggested Citation

  • Abderahman Rejeb & John G. Keogh & Wayne Martindale & Damion Dooley & Edward Smart & Steven Simske & Samuel Fosso Wamba & John G. Breslin & Kosala Yapa Bandara & Subhasis Thakur & Kelly Liu & Bridgett, 2022. "Charting Past, Present, and Future Research in the Semantic Web and Interoperability," Future Internet, MDPI, vol. 14(6), pages 1-32, May.
  • Handle: RePEc:gam:jftint:v:14:y:2022:i:6:p:161-:d:823977
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/14/6/161/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/14/6/161/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thair Khdour, 2020. "A semantic assessment framework for e-learning systems," International Journal of Knowledge and Learning, Inderscience Enterprises Ltd, vol. 13(2), pages 110-122.
    2. Jungwon Yoon & Han Woo Park, 2020. "Pattern and trend of scientific knowledge production in North Korea by a semantic network analysis of papers in journal titled technological innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1421-1438, August.
    3. Konstantinos Kotis & Artem Katasonov, 2013. "Semantic Interoperability on the Internet of Things: The Semantic Smart Gateway Framework," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 4(3), pages 47-69, July.
    4. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
    5. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    6. Nabeil Maflahi & Mike Thelwall, 2016. "When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 191-199, January.
    7. Gurunath R. & Debabrata Samanta, 2022. "A Novel Approach for Semantic Web Application in Online Education Based on Steganography," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 17(4), pages 1-13, September.
    8. Fahimnia, Behnam & Sarkis, Joseph & Davarzani, Hoda, 2015. "Green supply chain management: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 162(C), pages 101-114.
    9. Payam Barnaghi & Wei Wang & Cory Henson & Kerry Taylor, 2012. "Semantics for the Internet of Things: Early Progress and Back to the Future," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(1), pages 1-21, January.
    10. Francesco Lelli, 2019. "Interoperability of the Time of Industry 4.0 and the Internet of Things," Future Internet, MDPI, vol. 11(2), pages 1-13, February.
    11. Alireza Abdollahi & Karim Rejeb & Abderahman Rejeb & Mohamed M. Mostafa & Suhaiza Zailani, 2021. "Wireless Sensor Networks in Agriculture: Insights from Bibliometric Analysis," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    12. Adam Eyre-Walker & Nina Stoletzki, 2013. "The Assessment of Science: The Relative Merits of Post-Publication Review, the Impact Factor, and the Number of Citations," PLOS Biology, Public Library of Science, vol. 11(10), pages 1-8, October.
    13. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    14. Wansu Liu & Biao Lu & Gengxin Sun, 2022. "Semantic Association and Decision-Making for the Internet of Things Based on Partial Differential Fuzzy Unsupervised Models," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, February.
    15. Martina K Linnenluecke & Mauricio Marrone & Abhay K Singh, 2020. "Conducting systematic literature reviews and bibliometric analyses," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 175-194, May.
    16. Abderahman Rejeb & John G. Keogh & G. Keong Leong & Horst Treiblmaier, 2021. "Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3747-3776, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Otmane Azeroual & Renaud Fabre & Uta Störl & Ruidong Qi, 2023. "Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making," Future Internet, MDPI, vol. 15(6), pages 1-19, May.
    2. Yannis Haralambous & Philippe Lenca, 2023. "Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations," Future Internet, MDPI, vol. 15(7), pages 1-27, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    2. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    3. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    4. Sandip Solanki & Seema Singh & Meeta Joshi, 2023. "A Bibliometric Analysis of the International Journal of Energy Economics and Policy: 2013-2022," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 260-270, September.
    5. Fernando J. Garrigos-Simon & Yeamduan Narangajavana-Kaosiri & Ismael Lengua-Lengua, 2018. "Tourism and Sustainability: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    6. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    7. Riad Shams, S.M. & Vrontis, Demetris & Chaudhuri, Ranjan & Chavan, Gitesh & Czinkota, Michael R., 2020. "Stakeholder engagement for innovation management and entrepreneurial development: A meta-analysis," Journal of Business Research, Elsevier, vol. 119(C), pages 67-86.
    8. Shashi & Piera Centobelli & Roberto Cerchione & Amit Mittal, 2021. "Managing sustainability in luxury industry to pursue circular economy strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 432-462, January.
    9. Victor Tiberius & Meike Rietz & Ricarda B. Bouncken, 2020. "Performance Analysis and Science Mapping of Institutional Entrepreneurship Research," Administrative Sciences, MDPI, vol. 10(3), pages 1-21, September.
    10. Laura Fabregat-Aibar & M. Glòria Barberà-Mariné & Antonio Terceño & Laia Pié, 2019. "A Bibliometric and Visualization Analysis of Socially Responsible Funds," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    11. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
    12. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    13. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    14. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    15. Cailin Wang & Jidong Wu & Xin He & Mengqi Ye & Wenhui Liu & Rumei Tang, 2018. "Emerging Trends and New Developments in Disaster Research after the 2008 Wenchuan Earthquake," IJERPH, MDPI, vol. 16(1), pages 1-19, December.
    16. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    17. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    19. Petr Iakovlevitch Ekel & Sandro Laudares & Adriano José de Barros & Douglas Alexandre Gomes Vieira & Carlos Augusto Paiva da Silva Martins & Matheus Pereira Libório, 2023. "Geovisualization: A Practical Approach for COVID-19 Spatial Analysis," Geographies, MDPI, vol. 3(4), pages 1-16, December.
    20. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:14:y:2022:i:6:p:161-:d:823977. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.