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Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by the AI revolution.
KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology.
Conference – bridging the gap between research and industry
We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news.
KGC Vision and Values
Our goal is to build the community and become a leading source of learning around knowledge graphs.
We will achieve this by engaging and convening industry leaders and innovators, across sectors.
We will focus on the diversity of perspectives:
Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students
Gender & Age diversity
We will gather, share and publish content to increase learning.
We will build the community online and in-person through our content, meetups and conferences.
Live stream preview
Julian Grummer | What Can We Learn From Knowledge Graphs: A Wirecard Perspective
The Wirecard scandal was one of the most shocking economic events in Germany in 2020. The former DAX30 company collapsed on June 25, owing creditors more than €3.5 billion (almost $4 billion) after disclosing a gaping hole in its books that its auditor EY said was the result of a sophisticated global fraud. But were there any signs that something went wrong?
In our study, we gathered all relevant information from management and supervisory board members from the 30 largest companies (DAX30) in Germany for the fiscal year 2019. Relevant information includes place of birth, date of birth, education and work experience. Our knowledge graph contains 745 people, 1.203 companies and organizations, 5.116 roles and 1.128 degrees or educational programs. All this information helps us to understand what was different at Wirecard and what may be the reasons why Wirecard failed. Using a knowledge graph enables us to automatically detect and visualize all kinds of ties between supervisory and management board members, whereas detecting them manually requires more effort and is more error prone. The collection of the data reveals that there was little to no information available for most of the supervisory and management board members of Wirecard, which is uncommon for a DAX30 firm. In addition to that, it is obvious that the management board has far less work experience than managers from comparable companies. When looking at the experience of Wirecard’s supervisory board members, it becomes clear they were little or not all familiar with board activities. Furthermore, our graph shows that supervisory board members from Wirecard are less connected to other members of supervisory boards compared to other DAX30 companies.