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Using Materialised Ontology-Based Data Access (MOBDA) for the Harmonisation of Trace Data from Enterprise Collaboration Systems

In: Artificial Intelligence, Data, and Decision-Making

Author

Listed:
  • Lucas Schlömer

    (University of Koblenz, Center for Enterprise Information Research)

  • Martin Just

    (University of Koblenz, Center for Enterprise Information Research)

  • Petra Schubert

    (University of Koblenz, Center for Enterprise Information Research)

Abstract

Recent changes in the workplace have led to a significant increase in the use of enterprise collaboration software. The adoption of collaboration software is not always straightforward, and its interpretive flexibility can easily lead to its uncontrolled and heterogeneous use. If we are to improve this situation, we need to understand the actual practices of users. However, there are no readily available analysis tools for the (longitudinal) analysis of collaborative work processes. Users leave behind traces when they interact with the software. These traces are a by-product, and their examination has great potential for uncovering how collaboration processes are carried out. In its current form, however, this data is not suited for analysis. For this reason, we developed a novel approach for the collection, transformation and harmonisation of trace data. Using Design Science Research, we developed and successfully evaluated a software prototype.

Suggested Citation

  • Lucas Schlömer & Martin Just & Petra Schubert, 2026. "Using Materialised Ontology-Based Data Access (MOBDA) for the Harmonisation of Trace Data from Enterprise Collaboration Systems," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 389-405, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08480-4_25
    DOI: 10.1007/978-3-032-08480-4_25
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