Books in the World Scientific Encyclopedia With Semantic Computing And Robotic Intelligence series

As the first volume of World Scientific Encyclopedia with Semantic Computing and Robotic Intelligence, this volume is designed to lay the foundation for the understanding of the Semantic Computing (SC), as a core concept to study Robotic Intelligence in the subsequent volumes.This volume aims to provide a reference to the development of Semantic Computing, in the terms of "meaning", "context", and "intention". It brings together a series of technical notes, in average, no longer than 10 pages in length, each focuses on one topic in Semantic Computing; being review article or research paper, to explain the fundamental concepts, models or algorithms, and possible applications of the technology concerned.This volume will address three core areas in Semantic Computing: Understanding the (possibly naturally-expressed) intentions (semantics) of users and expressing them in a machine-processable format: Semantics description languages, ontology integration, interoperability 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 in Multimedia, IoT, SDN, wearable computing, interfacable with mobile computing, search engines, question answering, web services, to support applications in biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science and humanity Mapping the semantics of the user in context for content retrieval, management, creation in the form of structured data, image and video, audio and speech, big data, natural language, deep learning.

This volume aims to provide a reference to the development of robotic intelligence, built upon Semantic Computing, in terms of "action" to realize the "context" and "intention" formulated by Semantics Computing during the "thinking" or reasoning process. It addresses three core areas: Ability to interface and interact with human in the form of natural languages and map them onto Semantic Services, Understanding the (possibly naturally-expressed) intentions (semantics) of users and develop into plans to deliver the outcomes by means of robots, Improve on the sophistication in a big data environment to develop the capability to process and analyze massive data on-the-fly.