https://doi.org/10.1145/2479787.2479821">
 

Title

Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: Modeling, Annotation, Integration, and Perception

Document Type

Presentation

Abstract

This tutorial presents tools and techniques for effectively utilizing the Internet of Things (IoT) for building advanced applications, including the Physical-Cyber-Social (PCS) systems. The issues and challenges related to IoT, semantic data modelling, annotation, knowledge representation (e.g. modelling for constrained environments, complexity issues and time/location dependency of data), integration, analysis, and reasoning will be discussed. The tutorial will describe recent developments on creating annotation models and semantic description frameworks for IoT data (e.g. such as W3C Semantic Sensor Network ontology). A review of enabling technologies and common scenarios for IoT applications from the data and knowledge engineering point of view will be discussed. Information processing, reasoning, and knowledge extraction, along with existing solutions related to these topics will be presented. The tutorial summarizes state-of-the-art research and developments on PCS systems, IoT related ontology development, linked data, domain knowledge integration and management, querying large-scale IoT data, and AI applications for automated knowledge extraction from real world data.

Digital Object Identifier (DOI)

https://doi.org/10.1145/2479787.2479821

APA Citation

Anantharam, P., Barnaghi, P., & Sheth, A. P. (2013). Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: Modeling, Annotation, Integration, and Perception. .
https://corescholar.libraries.wright.edu/knoesis/564

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