The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...
We describe collaborative efforts between a knowledge representation team, a community of scientists, and scientific information managers in developing knowledge models for ecolog...
Deana Pennington, Joshua S. Madin, Ferdinando Vill...
Domain experts are essential for successful software development, but these experts may not recognize their ideas when abstracted into Unified Modeling Language (UML) or ontologie...
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understa...
Bernard Kamsu Foguem, Thierry Coudert, C. Bé...
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling. ...