IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i13p2109-d1689136.html
   My bibliography  Save this article

Time Travel with the BiTemporal RDF Model

Author

Listed:
  • Abdullah Uz Tansel

    (Baruch College, City University of New York, New York, NY 10010, USA)

  • Di Wu

    (Lehman College, City University of New York, New York, NY 10468, USA)

  • Hsien-Tseng Wang

    (Lehman College, City University of New York, New York, NY 10468, USA)

Abstract

The Internet is not just used for communication, transactions, and cloud storage; it also serves as a massive knowledge store where both people and machines can create, analyze, and use data and information. The Semantic Web was designed to enable machines to interpret the meaning of data, facilitating more informed and autonomous decision-making. The foundation of the Semantic Web is the Resource Description Framework (RDF). The standard RDF is limited to representing simple binary relationships in the form of the < s u b j e c t p r e d i c a t e o b j e c t > triple. In this paper, we present a new data model called BiTemporal RDF (BiTRDF), which adds valid time and transaction time to the standard RDF. Our approach treats temporal information as references instead of attributes, simplifying the semantics while enhancing the model’s expressiveness and consistency. BiTRDF treats all resources and relationships as inherently bitemporal, enabling the representation and reasoning of complex temporal relationships in RDF. Illustrative examples demonstrate the model’s support for type propagation, domain-range inference, and transitive relationships in a temporal setting. While this work lays a theoretical foundation, future research will address implementation, query language support, and compatibility with RDF streams and legacy systems.

Suggested Citation

  • Abdullah Uz Tansel & Di Wu & Hsien-Tseng Wang, 2025. "Time Travel with the BiTemporal RDF Model," Mathematics, MDPI, vol. 13(13), pages 1-22, June.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:13:p:2109-:d:1689136
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/13/2109/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/13/2109/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jmathe:v:13:y:2025:i:13:p:2109-:d:1689136. 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: 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.