Abstract
From this chapter, we present the technical part of this book including Chapters 6, 7, 8 and 9. The technical part deals with problems related to specific methods, algorithms, and techniques which are the implementation of the cognition-driven decision process (CDDP) model. This chapter discusses two kinds of domain knowledge used in the CDDP model: ontology and experience. A domain ontology is represented as a class tree and a class graph based on two types of relationships between classes: subsumption and property-share. Experience is elicited and represented as experience maps using the cognitive mapping technique. The domain ontology is used for extracting semantic information of SA. The extracted SA semantics together with experience are then used for query construction. This chapter will focus on domain ontology and experience.
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© 2009 Springer-Verlag Berlin Heidelberg
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Niu, L., Lu, J., Zhang, G. (2009). Domain Knowledge Representation and Processing. In: Cognition-Driven Decision Support for Business Intelligence. Studies in Computational Intelligence, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03208-0_6
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DOI: https://doi.org/10.1007/978-3-642-03208-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03207-3
Online ISBN: 978-3-642-03208-0
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