The importance of vocabulary learning has been underlined in the field of English for Academic Purposes (EAP) because non-English majors who require reading English texts in their fields of study have to expand their English vocabulary knowledge much more efficiently than ordinary ESL/EFL learners. Since academic vocabulary instruction in Iranian universities is realized through the use of Gene...

In the past many experience factory case studies and experiments have been carried out. We summarize some development steps and research results that, from our perspective, are important. We especially focus on the integration of experience factory and case-based reasoning and report on the respective benefits and impacts of such a seamless integration.

Knowledge Engineering is the aspect of systems engineering which addresses uncertain process requirements by emphasising the acquisition of knowledge about a process and representing this knowledge in a Knowledge Based System. The discipline has moved from one producing small expert systems to one producing embedded KBS in larger computational solutions. This transition has resulted in the deve...

The discipline of knowledge engineering grew out of the early work on expert systems in the seventies. With the growing popularity of knowledge-based systems (as these were by then called), there arose also a need for a systematic approach for building such systems, similar to methodologies in main-stream software engineering. Over the years, the discipline of knowledge engineering has evolved ...

This paper describes the building of an application for advising on the identiication and rectiication of problems in \hole-in-the-wall" machines. Although the diagnosis that the system carries out is comparatively simple, it is worthy of note both for its size and for the unusual approach taken to the knowledge acquisition process. This was based around experts working alone to ll in on-line \...

This paper describes the integration of the ATP support of the TPTPWorld into the Sigma Knowledge Engineering Environment. The result is an interactive knowledge based reasoning environment, with strong knowledge management features, and access to modern state of the art ATP systems for reasoning over knowledge bases.