Semantic Translation: Fundamentals and Applications

· Artificial Intelligence 第 219 冊 · One Billion Knowledgeable
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What Is Semantic Translation

The process of utilizing semantic information in order to assist in the translation of data from one representation or data model to another representation or data model is referred to as semantic translation. In semantic translation, one makes use of the semantics that correlate meaning with specific data pieces in one lexicon in order to produce a meaning that is equal in another system.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Semantic translation


Chapter 2: Data mapping


Chapter 3: Metadata registry


Chapter 4: ISO/IEC 11179


Chapter 5: Representation term


Chapter 6: Semantic spectrum


Chapter 7: Data element definition


Chapter 8: Upper ontology


Chapter 9: Semantic integration


Chapter 10: Ontology alignment


(II) Answering the public top questions about semantic translation.


(III) Real world examples for the usage of semantic translation in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of semantic translation' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of semantic translation.

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