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Global Descriptors of Convolution Neural Networks for Remote Scene Images Classification Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Re-sculpturing Semantic Web of Things as a Strategy for Internet of Things’ Intrinsic Contradiction

Authors : Jingmin An, Guanyu Li, Bo Ning, Wei Jiang, Yunhao Sun

Published in: Artificial Intelligence in China

Publisher: Springer Singapore

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Abstract

In this paper, based on annotating objects’ information and reasoning semantically with ontologies, the strategy of Semantic Web of Things (SWoT) for Internet of Things’ intrinsic contradiction is extended, and machine learning is introduced so that a novel hierarchical structure and the dynamic relationship between entities are proposed on SWoT. Specific contributions: (1) Establish of vertical and hierarchical framework of SWoT; (2) Definite on composite ontologies and (3) construct computational framework of Agent-based dynamic relationship model. And this paper proposes the essence that SWoT should be attributed to the interoperability between its various objects, which constructs inter-objects’ certain dynamic relationships.

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Metadata
Title
Re-sculpturing Semantic Web of Things as a Strategy for Internet of Things’ Intrinsic Contradiction
Authors
Jingmin An
Guanyu Li
Bo Ning
Wei Jiang
Yunhao Sun
Copyright Year
2020
Publisher
Springer Singapore
Book
Artificial Intelligence in China

Print ISBN: 978-981-15-0186-9

Electronic ISBN: 978-981-15-0187-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-0187-6_66