REA2: A unified formalisation of the Resource-Event-Agent Ontology

LAURIER, Wim, KIEHN, Jesper and POLOVINA, Simon (2018). REA2: A unified formalisation of the Resource-Event-Agent Ontology. Applied Ontology, 13 (3), 201-224.

[img]
Preview
PDF
Polovina-REA2AUnifiedFormalisation(AM).pdf - Accepted Version
All rights reserved.

Download (695kB) | Preview
Link to published version:: https://doi.org/10.3233/ao-180198
Related URLs:

    Abstract

    Through a proof of concept in SWI-Prolog, this paper demonstrates a business transaction model by which the trading partners can derive their own, personal perspective from shared data. The demonstration is an innovative formalisation of the Resource-Event-Agent (REA) ontology as it allows for switching viewpoints in real-time between one trading-partner’s perspective and that of a trading-partner with an opposing view (i.e. customer or supplier), or a trading-partner independent perspective (e.g. trusted third-party). The business transaction model is achieved by uniting REA with the Open-EDI Business Transaction Ontology (OeBTO). The resulting unified formalisation of the REA ontology (REA2) also highlights implications for the future development of a) enterprise information systems (EIS) in the cloud, b) social-mediabased EIS, c) blockchain EIS, and d) EIS interoperability across business paradigms. The EIS interoperability such as between traditional EIS (which typically uses a tradingpartner perspective), and EIS for the collaborative economy (which typically uses a trading-partner independent perspective) is particularly highlighted as it becomes much more transparent than previously.

    Item Type: Article
    Uncontrolled Keywords: Resource, Event, Agent, REA, Ontology, Prolog, Dependent View, Independent View, Open-edi Business Transaction Ontology (OeBTO), Collaborative Economy, blockchain
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.3233/ao-180198
    Page Range: 201-224
    Depositing User: Jill Hazard
    Date Deposited: 23 Mar 2018 11:46
    Last Modified: 18 Mar 2021 01:19
    URI: http://shura.shu.ac.uk/id/eprint/19016

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics