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・ Semantic Analysis (book)
・ Semantic analysis (compilers)
・ Semantic analysis (computational)
・ Semantic analysis (knowledge representation)
・ Semantic analysis (linguistics)
・ Semantic analysis (machine learning)
・ Semantic analytics
・ Semantic Application Design Language
・ Semantic architecture
・ Semantic audio
・ Semantic broker
・ Semantic change
・ Semantic class
・ Semantic compaction
・ Semantic compression
Semantic computing
・ Semantic Copyright
・ Semantic data model
・ Semantic decision table
・ Semantic dementia
・ Semantic desktop
・ Semantic dictionary encoding
・ Semantic differential
・ Semantic discord
・ Semantic dispute
・ Semantic domain
・ Semantic dyslexia
・ Semantic equivalence
・ Semantic externalism
・ Semantic feature


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Semantic computing : ウィキペディア英語版
Semantic computing
Semantic computing is a field of computing that combines elements of semantic analysis, natural language processing, data mining and related fields.
Semantic computing addresses three core problems:
# Understanding the (possibly naturally-expressed) intentions (semantics) of users and expressing them in a machine-processable format
# Understanding the meanings (semantics) of computational content (of various sorts, including, but is not limited to, text, video, audio, process, network, software and hardware) and expressing them in a machine-processable format
# Mapping the semantics of user with that of content for the purpose of content retrieval, management, creation, etc.
The IEEE has held an International Conference on Semantic Computing since 2007.
==See also==

*Semantic audio

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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