Title: Knowledge Graphs as Entity Event Models
Speaker: Jans Aasman
Entity-Event Knowledge Graphs are about moving away from statistical averages and broad-based patterns in order to connect the many dots, from different contexts and throughout time, to support and recommend industry-specific solutions that can take into account all the subtle differences and nuisances of entities and their relevant interactions to deliver insights and drive growth.
We will discuss a Knowledge Graph technology approach that encapsulates a novel Entity-Event Model, natively integrated with domain ontologies and metadata, and dynamic ways of setting the analytics focus on all entities in the system (patient, person, devices, transactions, events, operations, etc.) as prime objects that can be the focus of an analytic (AI, ML, DL) process.
We will demonstrate core elements of a knowledge graphs --- its knowledge representation and its core principles, example of one or two knowledge graphs that show how modern knowledge graphs are a mix of graph database technology and NLP and ML techniques.
Dr. Jans Aasman started his career as an experimental and cognitive
psychologist, earning his PhD in cognitive science with a detailed
model of car driver behavior using Lisp and Soar. He has spent most of
his early career in telecommunications research, specializing in
intelligent user interfaces and applied artificial intelligence
projects. From 1995 to 2004, he was also a part-time professor in the
Industrial Design department of the Technical University of
Delft. Jans is currently the CEO of Franz Inc., the leading supplier
of commercial, persistent, and scalable Graph database products that
provide the storage layer for powerful reasoning and ontology modeling
capabilities for Knowledge Graph applications. Dr. Aasman has gained
notoriety as a conference speaker at such events as Smart Data, NoSQL
Now, Semantic Technologies Conference, International Semantic Web
Conference, KMWorld, Java One, Linked Data Planet, INSA, GeoWeb, AAAI,
IEEE, Enterprise Data World, STIDS, ODSC, Text Analytics, and DEBS to
name a few.