Complex system development and maintenance face the challenge of dealing with different
types of models due to language affordances, preferences, sizes, and so forth that involve …

In pattern classification, features are used to define classes. Feature selection is a
preprocessing process that searches for an" optimal" subset of features. The class …

Different approaches to information system (IS) development are based on different data
models. The selection of a data model for conceptual design, among other things, depends …

Software interoperability and application integration can be realized through using their
respective conceptual data models, which may be represented in different conceptual data …

Multiple logic-based reconstructions of conceptual data modelling languages such as EER,
UML Class Diagrams, and ORM exist. They mainly cover various fragments of the …

Correspondence patterns have been proposed as templates of commonly used alignments
between heterogeneous elements in ontologies, although design tools are currently not …

Many powerful metamodeling platforms enabling model-driven software engineering
(MDSE) exist, each with its strengths, weaknesses, functionalities, programming language …

DevOps tools are often scattered over a multitude of technologies, and thus, their integration
is a challenging endeavour. The existing DevOps integration platforms, eg, Keptn, often …

Modern information systems require the orchestration of ontologies, conceptual data
modeling techniques, and efficient data management so as to provide a means for better …

Multiple conceptual data modelling languages exist, with newer version typically having
more features to model the universe of discourse more precisely. The question arises …