Process-oriented data mining (process mining) uses algorithms and data (in the form of
event logs) to construct models that aim to provide insights into organisational processes …

Conceptual data modelling techniques aim at the representation of data at a high level of
abstraction. This implies that conceptual data modelling techniques should not only be …

This paper tackles two main disparities between conceptual data schemes and ontologies,
which should be taken into account when (re) using conceptual data modeling techniques …

In this study we investigate method engineering research by classifying studies into three
contexts: technology, language and organization. Within each context we examine research …

The Internet and other open connectivity environments create a strong demand for the
sharing of data semantics. Emerging ontologies are increasingly becoming essential for …

Although the need for formalization of modelling techniques is generally recognized, not
much literature is devoted to the actual process involved. This is comparable to the situation …

Zusammenfassung Eine mittelgroBe schwedische High-Tech-Firma wurde von einem
Landsmann angespro-chen, der als Geschaftsmann gute Beziehungen zu Saudi-Arabien …

Flat graphical, conceptual modeling techniques are widely accepted as visually effective
ways in which to specify and communicate the conceptual data requirements of an …

The goal of this article is to formalize Object Role Modeling (ORM) using the DLR
description logic. This would enable automated reasoning on the formal properties of ORM …

Although Entity-Relationship (ER) modelling techniques are commonly used for information
modelling, Object-Role Modelling (ORM) techniques are becoming increasingly popular …