Abstract
Knowledge-based structuring methods are vital to the development and exploitation of knowledge-based systems. They produce content-based indexes on the objects of a knowledge base providing support to knowledge dependent tasks that need quick access to the relevant information. The automatic processing of data allows the development of environments where task support is provided to the user. Computer technology, through its fast processing, large memories, and interconnection networks, alleviates the tasks associated with finding, processing, and disseminating large volumes of data. Computers are now used most efficiently in data-intensive activities. The next frontier for computer technology is to address knowledge-intensive activities. Cognitive tasks such as planning are based on not only the retrieval but also the analysis of data. High-level analysis of data requires knowledge pertaining to the task for which support must be provided. Therefore, knowledge about these activities must be represented and stored in a way that allows easy access and processing; knowledge-based systems specifically address this issue.
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