IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i23p4852-d1292845.html
   My bibliography  Save this article

Event-Centric Temporal Knowledge Graph Construction: A Survey

Author

Listed:
  • Timotej Knez

    (Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia)

  • Slavko Žitnik

    (Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia)

Abstract

Textual documents serve as representations of discussions on a variety of subjects. These discussions can vary in length and may encompass a range of events or factual information. Present trends in constructing knowledge bases primarily emphasize fact-based common sense reasoning, often overlooking the temporal dimension of events. Given the widespread presence of time-related information, addressing this temporal aspect could potentially enhance the quality of common-sense reasoning within existing knowledge graphs. In this comprehensive survey, we aim to identify and evaluate the key tasks involved in constructing temporal knowledge graphs centered around events. These tasks can be categorized into three main components: (a) event extraction, (b) the extraction of temporal relationships and attributes, and (c) the creation of event-based knowledge graphs and timelines. Our systematic review focuses on the examination of available datasets and language technologies for addressing these tasks. An in-depth comparison of various approaches reveals that the most promising results are achieved by employing state-of-the-art models leveraging large pre-trained language models. Despite the existence of multiple datasets, a noticeable gap exists in the availability of annotated data that could facilitate the development of comprehensive end-to-end models. Drawing insights from our findings, we engage in a discussion and propose four future directions for research in this domain. These directions encompass (a) the integration of pre-existing knowledge, (b) the development of end-to-end systems for constructing event-centric knowledge graphs, (c) the enhancement of knowledge graphs with event-centric information, and (d) the prediction of absolute temporal attributes.

Suggested Citation

  • Timotej Knez & Slavko Žitnik, 2023. "Event-Centric Temporal Knowledge Graph Construction: A Survey," Mathematics, MDPI, vol. 11(23), pages 1-32, December.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:23:p:4852-:d:1292845
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/23/4852/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/23/4852/
    Download Restriction: no
    ---><---

    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:11:y:2023:i:23:p:4852-:d:1292845. 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.