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Influence of Data Intelligence on the Structuring of Content in Web Publications

Author

Listed:
  • Plamen Milev

    (University of National and World Economy, Sofia, Bulgaria)

  • Yavor Tabov

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The article provides a comprehensive examination of the influence of data intelligence on the structuring of content in web publications. Beginning with an exploration of the different strategies and technologies underpinning data intelligence, the article highlights the transformative impact of data intelligence on the presentation and usability of information in web publications. The article goes on to explore the opportunities and challenges associated with implementing data intelligence in web publications, including the potential for enhanced user engagement, privacy concerns, and the need for continuous investments in technology. As the field of data intelligence continues to evolve, the article discusses the anticipated impact of emerging technologies. Furthermore, the article delves into the need for structuring data in web publications and the process of transforming unstructured and semi-structured data into structured data. It underscores the significance of structured data in enhancing user experience, facilitating data intelligence operations, and improving data management practices. The article concludes by underlining the need for further exploration of strategies and technologies for data structuring to ensure the application of data intelligence in web publications.

Suggested Citation

  • Plamen Milev & Yavor Tabov, 2023. "Influence of Data Intelligence on the Structuring of Content in Web Publications," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 4, pages 73-85, December.
    • Handle: RePEc:nwe:iisabg:y:2023:i:4:p:73-85
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    More about this item

    Keywords

    internet; data intelligence; data structuring; web concept; online content;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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