UML models and ontologies are two knowledge representations with different strengths and
weaknesses. Until recently, they were considered unrelated research domains. However …

Knowledge bases store information on certain topics. Applying a well-structured and
machine-readable format for a knowledge base is a prerequisite for any AI-based …

In order for information systems supporting two different organizations to interoperate, there
must be an agreement as to what the words mean. There are many such agreements in …

An ontology is increasingly becoming an essential tool for solving problems in many
research areas. The ontology is a complex information object. It can contain millions of …

As the next step in the development of intelligent computing systems is the addition of
human expertise and knowledge, it is a priority to build strong computable and well …

Die Fähigkeit zur Modellbildung gehört zu den grundlegenden kognitiven Leistungen des
Menschen. Modelle werden (als Nachbilder) zum Zwecke der Erkenntnis, aber auch (als …

This paper presents an approach for visually modeling OWL DL and OWL Full ontologies
based on the well-established visual modeling language UML. We discuss a metamodel for …

Research in requirements engineering (RE) has been growing in the last few years. RE
researchers are generally concerned with a set of open issues such as:(i) the need for a well …

Software engineers have many robust commercial tools available to them for creating and
manipulating models. Due to the widespread adoption of the Object Management Group …

This article presents a general approach for the integration of Knowledge Bases into Model-
Based Systems Engineering tools. In existing tools, domain-specific modeling languages …