In this session, authors of a submission to the posters and demonstration track have less than two minute each to provide a teaser for their posters.
Consiglio Nazionale delle Ricerche
https://www.cnr.it/en
Mehwish Alam is a Post-Doctoral Researcher at Consiglio Nazionale delle Ricerche (CNR), Rome, Italy. The focus of her research is to use/develop Data Mining, Machine Learning/Deep Learning techniques for Semantic Web and Text processing. In this Interview, Mehwish talks about the combination of AI, Knowledge Graphs and NLP.
LegalTech is a very odd construction. Legal experts and technology uptake have always lived in a climate of tension – to say the least. Yet, legal considerations and expertise has never been more important as in this engineered world full of complex global dependencies and frictions. So we live in a time of fundamental change and development. And LegalTech is starting to grasp opportunities and challenges in this very misty environment – which makes it extremely exciting and new for people looking from inside and those looking from outside into this emerging new world.
Chief Content Architect
Wolters Kluwer Deutschland
http://www.wolterskluwer.de
Christian is Chief Content Architect at Wolters Kluwer Germany and part of the Innovation and UX Team. He is responsible for Innovation Projects around semantics and AI. He was part of H2020 Projects LOD2 and ALIGNED. Before joining Wolters Kluwer back in 2001 he worked for several Software companies. He is an Information scientist and based in Munich, Germany.
How can a knowledge graph based data management simplify and automate GDPR processes and establish full transparency on personal data throughout the entire enterprise? This presentation shows how a knowledge graphcan establish a single source of truth in a company with even hundreds to thousands of disparate systems. In May 2018, a large German powertools manufacturer looked for a way to address the arising challenges of the General Data Protection Regulation (GDPR). They had identified two main challenges that needed a technical solution.
eccenca GmbH
https://www.eccenca.com
Magnus Knuth is Senior Linked Data Consultant at eccenca GmbH. After graduating with a Diploma in Computer Science at Leipzig University, he spent a few years as a Research Fellow at IMISE Leipzig, in the Semantic Multimedia research group at Hasso Plattner Institute in Potsdam and with the DBpedia association. Magnus' interests lie in data modelling, data quality, and change management.
