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Data processing and semantics for advanced internet of things (IoT) applications: Modeling, annotation, integration, and perception

Anantharam, P, Sheth, A and Barnaghi, P (2013) Data processing and semantics for advanced internet of things (IoT) applications: Modeling, annotation, integration, and perception

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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 largescale IoT data, and AI applications for automated knowledge extraction from real world data. Copyright © 2013 ACM.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Anantharam, PUNSPECIFIEDUNSPECIFIED
Sheth, AUNSPECIFIEDUNSPECIFIED
Barnaghi, Pp.barnaghi@surrey.ac.ukUNSPECIFIED
Date : 2013
Identification Number : https://doi.org/10.1145/2479787.2479821
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:54
Last Modified : 17 May 2017 15:06
URI: http://epubs.surrey.ac.uk/id/eprint/837215

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