SEMANTiCS 2020 US |

Knowledge sharing and networking at the cross-section of research and business

For 15 years, the SEMANTiCS conference has served as the leading European conference on Semantic Technologies and AI. The inaugural SEMANTiCS US will be held in Austin, TX. SEMANTiCS US will offer simultaneous tracks to engage any level of interest and experience. Throughout it all, the focus will be on delivering real world case studies and practical guidance, ensuring the conference will yield immediately actionable advice and learning for all attendees.

About the conference

Keynote speakers

Alan Morrison

Sr. Research Fellow, Emerging Tech

Knowledge Graphs and Business Transformation

Amit Sheth

Founding Director, Artificial Intelligence Institute and Professor, Computer Science & Engineering

Knowledge Graphs and their Central Role in Big Data Processing: Past, Present, and Future

Juan Sequeda

Principal Scientist at data.world

The Socio-Technical Phenomena of Data Integration

Ruben Verborgh

Technology advocate for Inrupt

Small Data, Big Problems

Aaron Bradley

Knowledge Graph Strategist

The Rise of the Content Graph

Talks by

News

Conference Kickoff Webinar: Knowledge Graphs, AI and Semantics: How do these technologies fit together?

This webinar will provide insight into the key topics and questions thought leaders will explore at this year’s SEMANTiCS conference in Austin, TX.

Not Science Fiction - Kurt Cagle's View on Semantic Technologies

Kurt Cagle is one of the advisors behind the SEMANTICS 2020 Conference. He is a writer, data scientist and futurist focused on the intersection of computer technologies and society. He is also the founder of Semantical, LLC, a smart data company. In this interview, Kurt shares with us some of his expertise and his vision for the new paths being opened by Semantic Technologies.

Blending Deep Learning with Knowledge

Many of us working towards advancing machine intelligence are inspired by how a human brain works. My vision for semantic technologies is for it to find a place in future more powerful AI resulting from a synergy between the top-down processing (characterized by symbolic AI) and bottom-up processing (characterized by statistical AI) in human brains.

Ruben Verborgh: Unlocking Data for Innovation

The truth, however, is that the Semantic Web is simply solving more complex questions, and the conditions in which those questions arise are more relevant right now than ever before.