Titlebook: Landau-Kleffner Syndrome and Central Auditory Disorders in Children; Makiko Kaga,Kimitaka Kaga Book 2021 Springer Science+Business Media S

cajole

g the domain. While text documents are often processed un-structured, we will show in this chapter that the performance and problem solving capability of machine learning methods can be enhanced through the use of suitable structural representations of text documents. It will be shown that the extra

館長

laxative

愛花花兒憤怒

Makiko Kagaegrate information from diverse sources by focusing on the intersection of their ontologies and articulating them accordingly. These articulations typically require rules to define semantic correspondences like synonymy, homonymy, hypernymy, overlapping semantics, and abstraction among the terms of

STENT

acrophobia

Makiko Kagalicitly representing recurring patterns of knowledge (theory schemata) in the ontology, and then stating how those patterns map onto domain-specific concepts in the ontology. From a modeling perspective, knowledge patterns provide an important insight into the structure of a formal ontology: rather

堅毅

粘連

結(jié)束

Makiko Kagaineering of high-quality ontologies, be that by reuse, manual building or automatic knowledge acquisition. Besides feasible technological support this includes in equal measure integrating ontology engineering within the more general framework of enterprize information architectures, and taking into

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