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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
Cedric Berger | Data Governance 4.0 Applied To A Unified Clinical Data Model
Driven by legacy paper-based approaches, the design, conduction and analysis of clinical studies requires the creation and transformation of many data in many different formats. This hinders the process and necessitates significant resources. Having metadata-driven transformation is not new, however adoption of standards (.e.g CDISC) has not shown yet its full added value. We propose to extend this metadata-driven approach beyond CDISC standards from the writing of the unstructured clinical study protocol to submission of the clinical study report to health authorities. By sharing and re-using metadata end-to-end of the drug development critical path, we shorten and automat key tasks hence improving the efficiency of the overall process.
Over the last 25 years, we have accumulated a lot of clinical data for one primary purpose that was submission to regulatory authorities, the package supporting some efficacy and safety claims. But this data contains much more information. Cedric Berger is a scientist in training and he currently believes our "Current approach to data governance does not work well" and he is here to present his talk about his experience. He provides certain points about the data governance as it is now, and he provides what he thinks is good for businesses which is a governance framework. This culminates to Cedric explaining how the governance can be applied to clinical models showing benefits of the application. #knowledgegraphs #knowledgegraphconference #knowledgegraphsintheoryandpractice #knowledgegraphinhealthcare