Published: 1997 Mai
Institution: University of Karlsruhe, Institute AIFB
Erscheinungsort / Ort: 76128 Karlsruhe, Germany
Software Reuse is a topic which is discussed in various computer science disciplines. Our work deals with the construction and reuse of knowledge base components from a knowledge engineering point of view. In order to reuse domain knowledge and problem solving knowledge experience has shown that powerful and integrated methods and tools are absolutely necessary. Therefore we describe KARO (Knowledge Acquisition Environment with Reusable Ontologies) providing different means for retrieving and adapting concept definitions of a commonsense ontology as part of a domain model construction process. In our framework commonsense ontologies are defined as highly domain-independent knowledge bases containing conceptual definitions which formalise theories about, e.g., time, objects, space. We introduce the formal, linguistic and graphical methods, the architecture and other properties of KARO. By reusing these ontologies in a well-defined way conceptual domain models can be developed easier and made more robust. In addition, we show how KARO and MIKE (Model-based and Incremental Knowledge Engineering Environment) are integrated in order to support the two main notions of reuse being investigated within knowledge engineering: the reuse of problem solving methods and the reuse of ontologies. Special emphasis is put on handling the interaction between problem solving methods and ontologies.