Conceptual modeling is an important part of information systems development and use that involves identifying representing relevant aspects reality. Although the past decades have experienced continuous digitalization services products impact business society, conceptual efforts are still required to support new technologies as they emerge. This paper surveys research on over five shows how its...

Enterprise Interoperability can be identified on cultural, rule, process, data, software, object, social network, services, knowledge, electronic ID, cloud, and ecosystem level, whereas the challenge is the conceptual integration across those layers in a flexible way. Meta Modeling as a concept is a proven technology to enable such conceptual integration for both machine computation and human-o...

An open challenge is to integrate XML and conceptual modeling in order to satisfy large-scale enterprise needs. Because enterprises typically have many data sources using different assumptions, formats, and schemas, all expressed in—or soon to be expressed in—XML, it is easy to become lost in an avalanche of XML detail. This creates an opportunity for the conceptual modeling community to provid...

An essential aspect of conceptual data modeling methodologies is the language’s expressiveness so as to represent the subject domain as precise as possible to obtain good quality models and, consequently, software. To gain better insight in the characteristics of the main conceptual modeling languages, we conducted a comparison between ORM, ORM2, UML, ER, and EER with the aid of Description Log...