cajole
发表于 2025-3-25 05:28:47
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
馆长
发表于 2025-3-25 10:54:44
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laxative
发表于 2025-3-25 12:21:28
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爱花花儿愤怒
发表于 2025-3-25 18:21:41
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
发表于 2025-3-25 21:01:45
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acrophobia
发表于 2025-3-26 02:17:38
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
坚毅
发表于 2025-3-26 07:22:45
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粘连
发表于 2025-3-26 11:09:17
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结束
发表于 2025-3-26 14:43:50
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
PRISE
发表于 2025-3-26 20:25:17
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