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

Authors:

Pramod Anantharam,

Payam Barnaghi,

Amit ShethAuthors Info & Claims

WIMS '13: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

Article No.: 5, Pages 1 - 5

https://doi.org/10.1145/2479787.2479821

Published: 12 June 2013 Publication History

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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 large-scale IoT data, and AI applications for automated knowledge extraction from real world data.

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L. Lefort, C. Henson, K. Taylor, P. Barnaghi, M. Compton, O. Corcho, R. G. Castro, J. Graybeal, A. Herzog, K. Janowicz, H. Neuhaus, A. Nikolov, and K. Page. Semantic Sensor Network XG Final Report. Technical report, W3C Semantic Sensor Network Incubator Group (SSN-XG), June 2011.

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Cited By

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Mishra NSamuel J(2021)Towards Integrating Data Mining With Knowledge-Based System for Diagnosis of Human Eye DiseasesHandbook of Research on Disease Prediction Through Data Analytics and Machine Learning10.4018/978-1-7998-2742-9.ch024(470-485)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-2742-9.ch024
Sadique KRahmani RJohannesson P(2020)IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT DevicesSensors10.3390/s2022654620:22(6546)Online publication date: 16-Nov-2020
https://doi.org/10.3390/s20226546
Abou-Nassar EIliyasu AEl-Kafrawy PSong OBashir AEl-Latif A(2020)DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT SystemsIEEE Access10.1109/ACCESS.2020.29994688(111223-111238)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2999468
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Index Terms

Data processing and semantics for advanced internet of things (IoT) applications: modeling, annotation, integration, and perception
1. Information systems
  1. Information systems applications

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Published In

WIMS '13: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

June 2013

408 pages

ISBN:9781450318501

DOI:10.1145/2479787

Conference Chair:
David Camacho
Autonomous University of Madrid, Spain
,
Program Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Maria D. Rodriguez Moreno
University of Alcalá, Spain

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 12 June 2013

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WIMS '13

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WIMS '13: 3rd International Conference on Web Intelligence, Mining and Semantics

June 12 - 14, 2013

Madrid, Spain

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WIMS '13 Paper Acceptance Rate 28 of 72 submissions, 39%;

Overall Acceptance Rate 140 of 278 submissions, 50%

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Mishra NSamuel J(2021)Towards Integrating Data Mining With Knowledge-Based System for Diagnosis of Human Eye DiseasesHandbook of Research on Disease Prediction Through Data Analytics and Machine Learning10.4018/978-1-7998-2742-9.ch024(470-485)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-2742-9.ch024
Sadique KRahmani RJohannesson P(2020)IMSC-EIoTD: Identity Management and Secure Communication for Edge IoT DevicesSensors10.3390/s2022654620:22(6546)Online publication date: 16-Nov-2020
https://doi.org/10.3390/s20226546
Abou-Nassar EIliyasu AEl-Kafrawy PSong OBashir AEl-Latif A(2020)DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT SystemsIEEE Access10.1109/ACCESS.2020.29994688(111223-111238)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2999468
Vasco Lopes N(2020)Internet of Things feasibility for disabled peopleTransactions on Emerging Telecommunications Technologies10.1002/ett.390631:12Online publication date: 22-Dec-2020
https://dl.acm.org/doi/10.1002/ett.3906
Nagowah SSta HGobin-Rahimbux B(2019)Towards Achieving Semantic Interoperability in an IoT-enabled Smart Campus2019 IEEE International Smart Cities Conference (ISC2)10.1109/ISC246665.2019.9071694(593-598)Online publication date: Oct-2019
https://doi.org/10.1109/ISC246665.2019.9071694
Jayaraman PForkan AMorshed AHaghighi PKang Y(2019)Healthcare 4.0: A review of frontiers in digital healthWIREs Data Mining and Knowledge Discovery10.1002/widm.135010:2Online publication date: 25-Dec-2019
https://doi.org/10.1002/widm.1350
Nagowah SBen Sta HGobin-Rahimbux B(2018)An Overview of Semantic Interoperability Ontologies and Frameworks for IoT2018 Sixth International Conference on Enterprise Systems (ES)10.1109/ES.2018.00020(82-89)Online publication date: Oct-2018
https://doi.org/10.1109/ES.2018.00020
Cantarero RRubio ATrapero CSantofimia MVillanueva FVilla DLopez J(2018)A common-sense based system for Geo-IoTProcedia Computer Science10.1016/j.procs.2018.07.301126:C(665-674)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.procs.2018.07.301
Pinto AGonzales‐Aguilar ALima Dutra MRibas Semeler ADenisczwicz MClosel C(2017)The Visualization of Information of the Internet of ThingsInternet of Things10.1002/9781119427391.ch5(117-137)Online publication date: 3-Nov-2017
https://doi.org/10.1002/9781119427391.ch5

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Interoperability of Security-Enabled Internet of Things

An ontology-based framework to support intelligent data analysis of sensor measurements

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