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aktualisiert am 24. Februar 2020
978-3-8439-4076-4, Reihe Informatik
Artificial Intelligence - Semantic Matching and Semantic Similarity Networks
66 Seiten, Fachbuch (2019), Hardcover, B5
Whenever you want to take your ideas beyond the borders of language, culture and systems, you will find the problem of having to understand the meaning of similar concepts, however expressed in different ways, i.e. the problem of semantic matching. With the growing of interconnectivity among the systems – especially with the advances of the Internet – this problem has reached the computer science field at business levels. In this book, we present the semantic similarity networks (SSN) designed to simplify the calculation of semantic similarities on complex and large sematic networks. The SSN were formally defined in [Bendeck2008] and applied for workflows semantic matching. Introduction of the SSN for the general applications in the semantic matching problems were made in it. The present book, deals with the general definition of semantic, semantic similarity, and semantic similarities networks. Furthermore, this book presents concrete examples and usage in the computer science and consultancy industry.
In addition, this book includes the experience of the author from the academic world (PhD in computer science, Artificial Intelligence) together with examples and guidelines drawled from his 30+ years of experience in the industry and business enterprises as consultant for integration architectures (e.g. systems integration, data migration, and ecosystems connectivity), where multiple participants need to understand each other to communicate and integrate at digital level.
The purpose of this book is to offer material for two types of readers: (1) The business consultant, looking for Artificial Intelligence solutions, beyond the typical machine learning, and (2) the young academic researcher, looking for solid research foundation to extend the machine understanding of the human world.