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Concept Parsing Algorithms (CPA)
Abstract
This chapter describe Concept Parsing Algorithms (CPA), a novel methodology of using text analysis tools for discovery of ‘building blocks' of concepts, with semantic searches of the full text of potentially relevant documents in relevant knowledge domains, for lexical labels of concepts in controlled vocabularies. The meaning of lexical label of a super-ordinate concept C' in a sublanguage with controlled vocabulary is encoded in a set that contains three sets of building blocks: Ci (set of co-occurring sub-ordinate concepts); Rj (set of relations); and Lk (set of linguistic elements/descriptors).
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