IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v16y2020i3p53-69.html
   My bibliography  Save this article

Applications, Methodologies, and Technologies for Linked Open Data: A Systematic Literature Review

Author

Listed:
  • Cecilia Avila-Garzon

    (Faculty of Mathematics and Engineering, Fundación Universitaria Konrad Lorenz, Colombia)

Abstract

Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.

Suggested Citation

  • Cecilia Avila-Garzon, 2020. "Applications, Methodologies, and Technologies for Linked Open Data: A Systematic Literature Review," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 16(3), pages 53-69, July.
    • Handle: RePEc:igg:jswis0:v:16:y:2020:i:3:p:53-69
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2020070104
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Vetle Ryen & Ahmet Soylu & Dumitru Roman, 2022. "Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review," Future Internet, MDPI, vol. 14(5), pages 1-24, April.
    2. Armando Barbosa & Ig I. Bittencourt & Sean W. Siqueira & Diego Dermeval & Nicholas J. T. Cruz, 2022. "A Context-Independent Ontological Linked Data Alignment Approach to Instance Matching," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 18(1), pages 1-29, January.

    More about this item

    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:igg:jswis0:v:16:y:2020:i:3:p:53-69. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.