Keynotes and Lectures
Keynotes
The Spirits of Web of Things Past, Present, and Yet to Come
- Speaker:
- Matthias Kovatsch
- Bio:
- Matthias is a Principal Researcher at Huawei's German Research Center in Munich. With experiences at Samsung and Siemens, he digitalizes industry by applying Internet and Web technology, and shapes the Internet of Things through standardization. He has a doctorate from ETH Zurich, Switzerland, where he found his passion for open source software and open standards. Since then, he has been active in the Eclipse Foundation, Internet Engineering Task Force (IETF), the World Wide Web Consortium (W3C), and the OPC Foundation.
- Abstract of the keynote:
- The Web of Things (WoT) started out as an initiative to ease IoT development and improve interoperability. The recent standardization within the W3C combined the strengths of hypermedia-driven interaction with the reasoning capabilities of Semantic Web technology. W3C WoT overlaps with the Knowledge Graph branch of artificial intelligence and aims at many application domains including industry. This keynote gives an overview over the past, present, and future of the Web of Things with a focus on the ideas behind the recently published W3C standards.
Machine Learning with Knowledge Graphs
- Speaker:
- Volker Tresp
- Bio:
- Volker Tresp is a Distinguished Research Scientist at Siemens and a Professor for Machine Learning at the Ludwig Maximilian University of Munich (LMU). He received a Diploma degree from the University of Goettingen, Germany, in 1984 and the M.Sc. and Ph.D. degrees from Yale University, New Haven, CT, in 1986 and 1989 respectively. Since 1989 he has been the head of various research teams in machine learning at Siemens, Research and Technology. He filed more than 100 patent applications and was inventor of the year of Siemens in 1996. He has published more than 150 scientific articles and administered over 25 Ph.D. theses. The company Panoratio is a spin-off out of his team. His research focus in recent years has been “Machine Learning in Information Networks” for modelling Knowledge Graphs, medical decision processes, perception, and cognitive memory functions. He has been the consortium lead of a number of publicly funded projects. Since 2011 he is also a Professor at the Ludwig Maximilian University of Munich where he teaches an annual course on Machine Learning.
- Abstract of the keynote:
- Over the past years, there has been a rapid growth in research on Machine Learning with Knowledge Graphs (KGs). KGs are large networks of real-world entities, which are described in terms of their semantic types and their relationships to each other. KGs can be represented as adjacency tensors from which tensor models can be derived to generalize to unseen facts and to derive entity embeddings. We show how Machine Learning with Knowledge Graphs can be used in industrial applications and for clinical decision support. Important issues we are addressing in the clinical setting are missing data, explainability and policy evaluation. I will discuss Machine Learning with Knowledge Graphs for rich scene graph descriptions and debate potential links to the memory and perceptual systems of the human brain.
Multi Agent Systems in the context of industry 4.0- challenges and reusable pattern
- Speaker:
- Birgit Vogel-Heuser
- Bio:
- Professor Dr-Ing. at Technische Universität München
- Abstract of the keynote:
- Multi Agent Systems enable adaptivity and flexibility of automated Production Systems. A pattern based approach for field level MAS will be introduced adressing model based, purely learning and hybrid approaches. Using a status report on agents in Industry 4.0 and guidelines from VDI/VDE different use cases are introduced to highlight the basic paradigm and successful implementations.
When data is the new oil, it is our role to prevent the blowout!
- Speaker:
- Marc-Oliver Pahl
- Bio:
- Marc-Oliver Pahl - research director at the Institute Mines Télécom (IMT) Atlantique, Rennes, France. He is the chair holder of the industrial chair “Cyber CNI” that focuses on Cybersecurity for critical infrastructures with currently 12 PhD students and PostDocs. He is the co-director of the UMR LAB-STICC/IRIS (14 professor positions; 1 research position; 1 technician; 11 post-docs; 22 PhDs; 3 external associated researchers). Marc-Oliver also heads the IoT smart space team at Technical University of Munich (TUM), Germany, with currently 4 PhD students and more than 150 Master and Bachelor students in the past 11 years. He is digital teaching director of the German-French Academy for the industry of the future (GFA). Marc-Oliver is the scientific vice president of the German chapter of the Association for Computing Machinery (ACM). He is also the faculty sponsor of the ACM student chapter Munich. He continuously co-chairs major conferences especially in the network management domain. He is the co-director of the annual Future-IoT summer school series.
- Abstract of the keynote:
- A central element of Industry 4.0 is the sharing of data on all levels, from local to the cloud. This sharing brings many opportunities. But it brings also risks regarding data security. The talk presents at guiding examples, what typical security risks are that can especially affect privacy and safety. Based on the examples, the talk shows protection mechanisms, including machine-learning-based ones, and research directions towards a secure, transparent data sharing for the Industry 4.0.
Emergence of the Sentient Web and the revolutionary impact of Cognitive AI
- Speaker:
- Dave Raggett
- Bio:
- Dr. Dave Raggett is a member of the W3C’s European staff and a visiting professor at the University of the West of England. He was closely involved with early work on web standards especially HTML and HTTP. He has been involved in many European projects, and currently focuses on the Web of Things and Cognitive AI. He was educated at the University of Oxford, followed by assignments at the University of Edinburgh, Imperial College and MIT, along with industry experience at HP, Canon, Openwave, Volantis and JustSystems.
- Abstract of the keynote:
- This talk will introduce the Sentient Web and Cognitive AI in the context of Industry 4.0. This draws upon advances in the cognitive sciences to mimic what we've learned about the brain in terms of perception, cognition and action, and its mapping to Web architecture using a combination of REST APIs, graph databases, statistics, rules and graph algorithms, together with the Web of Things.
Lectures
Web of Things lecture 1
- Speaker:
- Andreas Harth
- Bio:
- Professor at University Nürnberg-Erlangen and team leader at Fraunhofer IIS
- Abstract of the lecture:
- To be announced soon...
Web of Things lecture 2
- Speaker:
- Simon Mayer
- Bio:
- Professor at University St. Gallen in Switzerland
- Abstract of the lecture:
- To be announced soon...
Knowledge Graph lecture
- Speaker:
- Tobias Käfer
- Bio:
- Post doctoral researcher at Karlsruhe Institute of Technology
- Abstract of the lecture:
- To be announced soon...
Autonomous Agents lecture
- Speaker:
- Jomi Fred Hübner
- Bio:
- Associate professor at Federal University of Santa Catarina, Brazil
- Abstract of the lecture:
- To be announced soon...