Multi-level conceptual modeling addresses the representation of subject domains dealing
explicitly with multiple classification levels. Despite the recent advances in multi-level …

Context Although metamodelling is generally accepted as important for our understanding of
software and systems development, arguments about the validity and utility of ontological …

Multi-level modeling is currently regaining attention in the database and software
engineering community with different emerging proposals and implementations. One driver …

We propose to leverage concept-level representations for complex event recognition in
photographs given limited training examples. We introduce a novel framework to discover …

One of the most significant challenges in information system design is the constant and
increasing need to establish interoperability between heterogeneous software systems at …

The research for this monograph on web information systems started in the mid-1990s,
when the second author was confronted with the desire of the information service for …

Application integration requires the consideration of instance data and schema data.
Instance data in one application may be schema data for another application, which gives …

Conceptual modeling supports analyses of IT artifacts and the enterprise action system they
are embedded in. However, in this paper it is argued that for IT landscape analyses existing …

The traditional two-level modeling approaches produce accidental complexities when
modeling multiple abstraction levels. This problem is addressed by the emerging multi-level …

Multi-level modeling languages differ in their approaches for controlling the properties of
model elements over multiple modeling levels. Over the years the original approach for …