Program

IoT – Connected World and Semantic Interoperability Workshop

Workshop Format: The format of the Workshop includes paper presentations

Registration and Welcome

Technical papers following the format and templates of the IoT-Conference 2019

Oral presentation of selected papers 20 Minutes each + Q&A session

Networking Lunch (aligned with IoT Conference schedule)

Coffee breaks (aligned with IoT Conference schedule) to promote more debate and networking interactions

This year IoT-CWSI 2019 runs in collaboration with 1st Workshop on Cyber-Physical Social Systems (CPSS) 2019.

CPSS 2019 takes place in the morning and IoT-CWSI 2019 will take place in the afternoon.

IoT-CWSI Agenda:   

12:00-13:00         Workshop Registration

13:00-14:00         Networking Lunch

 Room: Ceremonial Hall Cloister

 

14:00-14:30         Welcome Message

Achille Zappa and Martin Serrano

14:30-15:30         Paper Session – Applications and Services

Room: Garate

Towards Animal Welfare in Poultry Farms through Semantic Technologies

Presenter: Iker Esnaola-Gonzalez

Abstract- Comfort within farms is one of the main factors that influence the wellbeing and health of animals during their lifetime. Towards that goal, a system based on KDD (Knowledge Discovery in Databases) that lets farmers know when may an uncomfortable situation hap- pen, could be very beneficial to strengthen the poultry welfare assurance. For that purpose, the EEPSA (Energy Efficiency Prediction Semantic Assistant) process which leverages Semantic Technologies is used to assist data analysts through the KDD process. However, since the EEPSA is designed for tertiary buildings, some extension and customisation tasks are needed to adapt it for the poultry farm use case. This paper presents the implementation of the EEPSA process customised for poultry farms. This implementation is evaluated on a real-world farm and results show the potential of such a system for enabling farmers to anticipate situations that may be uncomfortable or even harmful for animals.

Citizen Science over Big Data and IoT Technology for a Sustainable Living enabling Carbon Reduction

Presenter: Niall Ó Brolcháin

Abstract- The accelerated human activity and the excessive use of carburant today is generating the degradation of our ecosystems affecting the environment, mainly reflected in the amount of particles and the production of di-Oxide of carbon (C02) which is unbalanced with the amount that it can be sequestered in a natural way. The use of IoT technology is typically a reference for data sensing and the use of Big Data refers to better analytics. In this paper we introduce how using Big Data Analytics and the use of Internet of Things (IoT) as sensing technology is being used for measuring the sequestration of net emissions of carbon accounting the savings of carbon levels as novel restoration and accounting techniques. The Care-Peat project that look after using IoT and Big Data propose how better use cited technologies for a sustainable living and how the data and sensing devices better help in the reduction of carbon footprint. We focus on the demonstration that Peatland’s restoration is a viable alternative to recover the balance by increasing the levels of carbon unit’s sequestration.

15:30-16:00         Networking Coffee Break

 

16:00-17:30         Paper Session –  Semantic Web, IoT Platforms and Internet

Room: Garate

Internet of Things Science: “The Scientific Value Behind/Beyond the Hype”

Presenter: Martin Serrano

The Internet of Things, an area that by definition emerged rapidly as consequence in the evolution of the technology, from the extended use of the Internet and the deployment of a large wave of wired or wirelessly connected devices, has today the interest and dynamic participation from all the societies and scientific communities, including those that are considered more difficult or conservatives to the rapid technology changes but that at the same time have more impact in society, i.e. medical, and social sciences. This defines potentially the emergence of a new discipline in science, a discipline where multiple professionals and diverse communities will be investigating new advances not only in the technology side but also how the technology influence humanity, an area that not only helps to the technological progress but also to the human progression for better life preservation and better conditions for living and life conditions; the Internet of Things Science, a multidisciplinary discipline that will be accounting, evaluating and studying algorithms, methods, processes, systems, services and solutions to build a conceptual reference framework that will describe models and behaviours on how device technology is designed and how society use device technology. In other words, the science of “connected things” theory, experimentation and engineering involved to use the devices “things” and their associated systems that forms the basis for the design and use of the devices. An Internet of Things Scientist then will specialise in the multidisciplinary activity of theory, design and practical experience of Internet of Things systems.

Theoretical assessment of existing frameworks for data usage control:

Strengths and limitations with respect to current application scenarios

Presenter: Gonzalo Gil

Abstract- Today, government institutions, academics, companies and citizens have access to a large amount of data from different providers and technological sources. Moreover, a good use of that data can provide them a lot of benefits related to the development of quality services. Nevertheless, data exchange generates mistrust especially when talking about private data, but also concerning industrial data. Therefore, the development of platforms that allow data sharing offering, on the one hand, compliance with legal regulations related to data protection and, on the other hand, a complete control over the data provided in such a way that data privacy and sovereignty is always guaranteed is already a necessity. This paper initially studies the state of the art in data usage control from traditional access control mechanisms to nowadays solutions that try to solve the limitations observed in the first ones. Also, the paper identifies and details, the minimum set of theorical requirements for offering a complete data usage control solution on a data exchange platform guaranteeing data sovereignty.

A survey on Trust Management Classification and its most common Methodologies for the Internet of Things

Presenter: Alex Acquier

Abstract- The task of developing a secured IoT network with the data being exchanged between nodes in the IoT network protected is a big challenge. IoT devices should exchange information only with trusted and reputed nodes. Trust management is considered one of the most powerful solution to solve the cyber security gaps in the Internet of Things (IoT), the trust management is the major solution to prevent of the increased number of the cyber-attacks. Trust management evaluation is based on feedbacks given by devices and brokers. Therefore, there are various methodologies that have been employed in the IoT to resolve the trust management issue. However, it is not possible for every methodology to perform best in any condition and trust and reputation are computed at different layers of the trust architecture, therefore, in this paper, we survey different trust management technology and classify them to figure out which technology is more efficient and reliable and under which circumstances use one or the other one based on experiences. The  various methodologies used in IoT are described and compared for the better management of the trust. Graphs and tables are included for the clarification of previous testing and evaluation of trust.

Enabling Cross-Domain Interoperability for the Internet of Things using

Semantic Web Standards and its application in the Active and Healthy Ageing Area

Presenter: Achille Zappa

Abstract- The Internet of Things market is growing and increasingly offering very attractive applications, but the lack of industry consensus on the use of open standards and protocols that enables cross-domain interoperability is posing a major barrier to wider adoption. It can be stated that “every IoT domain and every IoT vendor produces its own IoT platform.” To cope with this challenge, we introduce ACTIVAGE data model which is composed by the definition of the vocabularies, terminology and data structures and documentations following standards supporting IoT and Active and Healthy Aging (AHA) domains. The Data model is deployed as ACTIVAGE Data Pack, a set of files, schemas and metadata model diagrams that represent the way the ACTIVAGE data is organised, structured and implemented. Also following data exchange and interoperability requirements/standards the ACTIVAGE data model Support Tool is introduced as mechanism on how the data model is maintained.

17:30-18:00         Closing Notes

Achille Zappa and Martin Serrano

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