Michael Cafarella | Infrastructure For Knowledge Graph Application Programming
KGC | All Access Subscription
•
23m
Social Knowledge Graphs such as Wikidata have become massive successes, obtaining a level of coverage and quality that would be the envy of many traditional relational database engineering projects. And yet the downstream use scenarios for such datasets remain sharply limited compared to the vast range of relational database applications. In this talk I will present some early work that aims to make Knowledge Graph-powered applications easier to build. This work is the result of a large NSF-funded collaboration among researchers at the University of Michigan, MIT, UC Berkeley, the University of Washington, and the Allen Institute for Artificial Intelligence.
Up Next in KGC | All Access Subscription
-
Roi Krakovski | The Usearch Contextua...
We exploit the recent breakthroughs in Neuroscience to build web search engines based entirely on AI-generated data, thus eliminating the need to collect users’ data. We show how to generate search queries that are almost identical to real users’ queries. We use the generated queries to build a ...
-
Krzysztof Janowicz | Know, Know Where...
The KnowWhereGraph project aims at providing a densely interlinked knowledge graph for environmental intelligence applications and situational awareness services (area briefings) that enrich the data of decision-makers and data scientists with pre-integrated data custom-tailored to their spatial ...
-
Neda Abolhassani & Teresa Tung | Acce...
A data supply chain is industry-specific, but many data prep tools are industry agnostic. As part doing this work, data engineers and domain experts apply their deep knowledge of how to transform raw data to a form that can address specific problems. In this way, the data supply chain is a doma...
