Semantic Correlation in Context: Application in Document Comparison
نویسنده
چکیده
This paper outlines an approach to semantic correlation in context within the electronic documentation domain. It addresses the problem of quantifying resemblance or similarity between knowledge-based systems (KBSs) such as active documents. An important aspect of correlation is that it depends on context. Correlation between two KBSs can be defined in terms of common knowledge between them (semantic correlation) in context. Context can be physical, verbal, or historical. An example of semantic correlation in context is developed. In this example, taken from the Computer Integrated Documentation (CID) project, active documents are considered as KBSs able to advise the user of what to do next in the current situation. Potential research issues are discussed.
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تاریخ انتشار 2009