Abstract
An important aspect of knowledge engineering (in short: KE) is the management and maintenance of entries in the knowledge base and of KE activity in general. Little attention has been given to this task in the history of artificial intelligence. Since powerful knowledge representation formalisms are available, the creation of big knowledge bases causes problems of its own. These problems are well known in the traditional business of software design where they have led to the development of a whole range of software engineering methods. We outline the influence of some of these methods on the organization of the KE subproject of LILOG1 and focus on the development of a KE environment especially tailored to the requirements of the domain at issue.
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Börkel, M., Gerstl, P. (1991). A knowledge engineering environment for LILOG. In: Herzog, O., Rollinger, CR. (eds) Text Understanding in LILOG. Lecture Notes in Computer Science, vol 546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54594-8_77
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DOI: https://doi.org/10.1007/3-540-54594-8_77
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