IDEAS home Printed from https://ideas.repec.org/a/vrn/katinf/y2024i1p122-128.html
   My bibliography  Save this article

Deconstructing The Web Of Data: Innovations In The Usage Of Api

Author

Listed:
  • Boris Bankov

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

  • Denitsa Petkova

    (University of Economics - Varna Department of Informatics , Varna, Bulgaria)

Abstract

The World Wide Web is a rich source of information managed and utilized through a multitude of technologies and protocols. Modern web systems and mobile applications gather data on user activity on the Internet, and the processing of these vast amounts of knowledge finds application in new language models. Sharing information resources across different platforms has its advantages and challenges. The aim of this report is to present an overview analysis of innovations in the use of Application Programming Interfaces (APIs) for data exchange between various web-based systems. With the rapid evolution of information technologies a diverse ecosystem of APIs can be explored, each with unique capabilities and use cases. As the demand for seamless data integration grows, businesses are increasingly adopting API-first strategies to enable efficient data sharing and interoperability. The study examines architectures, technologies, and types of API management services such as REST, GraphQL, SOAP, and gRPC.

Suggested Citation

  • Boris Bankov & Denitsa Petkova, 2024. "Deconstructing The Web Of Data: Innovations In The Usage Of Api," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 122-128.
  • Handle: RePEc:vrn:katinf:y:2024:i:1:p:122-128
    as

    Download full text from publisher

    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_122-128.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    web API; data exchange; SOAP; REST; GraphQL; gRPC;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    Statistics

    Access and download statistics

    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:vrn:katinf:y:2024:i:1:p:122-128. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Vladimir Sulov (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.html .

    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.