Scholarlink

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.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Lucas Schlömer,
  • Martin Just,
  • Petra Schubert

摘要

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.