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SmartIoT 2018 Workhop: AI enhanced IoT data processing for Intelligent Applications

Description of the SmartIoT Workshop

Building intelligent applications for everyday use is the long-cherished aim of Artificial Intelligence (AI). With numerous devices deployed and used in day-to-day applications including mobile phones, tablets, wearable and other connected sensing and actuation devices, collectively referred to as the Internet of Things (IoT), there is an unprecedented opportunity to develop contextually intelligent applications with far-reaching societal implications. They can deliver fine-grained services in various areas such as healthcare, manufacturing, transportation and social good. These intelligent applications and services, however, could also pose privacy, security and trust issues and risks.

The purpose of the workshop is to discuss how AI techniques can help consume data from IoT to build intelligent applications. The workshop aims to bring together academic researchers and industry practioners who are interested in advancing the state-of-the-art not merely in their specific sub-fields of AI, but also in multi-disciplinary areas in order to solve problems with business as well as societal impacts.

Workshop Topics

By 2020, 50 billion Internet of Things (IoT) are expected to be deployed. That is, massive number of IoTs will be continuously or periodically make the data the generate available on the internet. This workshop will explore the possibilities of using Artificial Intelligence (AI) including machine learning, NLP, and semantic Web techniques to create new solutions that exploit the IoT generated data. The workshop will provide an opportunity to share new findings, exchange ideas, discuss research challenges, present demonstration of unique applications and report latest findings. The workshop will cover a range of topics including, but not limited to:

Semantic sensor (IoT) data

Information extraction from real-world data streams

Machine Learning, knowledge-enabled and spatio-temporal processing applied IoT data

AI techniques for intelligent IoT data fusion

Context-aware applications and services

Linked open IoT data, repositories of semantic IoT data

Semantic IoT data management

Chatbots using NLP and IoT data

Reasoning with IoT data, including semantic, cognitive and perceptual computing

Ethical and privacy issues with IoT data

Human computer interface (HCI) issues, Data visualization

Applications in smart city, healthcare, transportation, energy, public safety, disaster coordination and other areas

Submission

Paper Submission Deadline: 13 October 2017 Notification Author: 8 November 2017

Number of pages: 8 to 12 Springer LNCS

Submission Web page on Easy Chair: https://easychair.org/conferences/?conf=smartiot2018

With this workshop, we aim to discover new ways to embrace the opportunities that semantic web technologies offer in terms of data modelling, integration, processing, and provisioning as well as in terms of developing flexible and intelligent system solutions. We want to challenge researchers towards developing integrated description and implementation approaches through both paper submissions and interactive on-site discussion and dialog. In particular we are looking for description approaches, formal models, implementation solutions, use cases, and applications that support a IoT solutions based on semantic web technologies. Accepted papers will be published in workshop proceedings, for example as CEUR proceedings. The proceeding from last year are available under http://ceur-ws.org/Vol-1783/

Organisation

Chairs

PC:

he following is a tentative list of technical programme committe members:

 Manfred Hauswirth, Technical University of Berlin/Fraunhofer FOKUS

 Monika Solanki, University of Oxford, UK

 Septimiu Nechifor, Siemens, Romania

 Andreas Emrich, DFKI/University of Saarbrucken, Germany

 Maria Bermudez, University of Granada, Spain 

 Frieder Ganz, Adobe, Germany 

 Cory Henson, Bosch Research \& Technology, USA

 Paolo Bellavista, University of Bologna, Italy 

 Ajit Joakar, City of London, UK

 Edith Ngai, Uppsala University, Sweden

 Fangming Liu, Huazhong University of Science and Technology, China

 Yasmin Fathy, University of Surrey, UK

 Danh Le Phuoc, TU Berlin, Germany

 Josiane Xavier Parreira, SIEMENS AG, Austria

 Maria Esther Vidal, Universidad Simon Bolivar, Venezuela

 Simon Mayer, Siemens, USA

 Pankesh Patel, Fraunhofer, USA

 Ali Intizar, Insight-NUIG, Ireland

 Gyu Myoung Lee, Liverpool John Moores University, UK

 Emil Lupu, Imperial College London, UK 

 Bin Guo, Northwestern Polytechnical University, China

 Koji Zettsu, NICT, Japan 

 Kerry Taylor, The Australian National University, Australia 

 Axel Ngonga, University of Leipzig, Germany

 Xiang Su, University of Oulu, Finland

 Philippe Gautier, Pierre and Marie Curie University, France

Program

Where: New Orleans, Lousiana, USA

When: 2nd or 3rd February 2018 Co-located with AAAI 2018 (32nd AAAI Conference on Artifiical Intelligence)