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Modeling Real Estate Ecosystem with Cherre's Knowledge Graph

Cherre’s knowledge graph is a model of the entire US real estate ecosystem. The graph incorporates hundreds of millions of entities such as properties, addresses, individual and commercial owners, lenders, brokers, estate managers, lawyers etc. as nodes – while the edges are various types of connections between the entities. A wealth of attributes are associated with each entity. Cherre’s knowledge graph is a closed-world graph: it allows inferring an absence of connection between two entities if there is no edge between them in the graph. Furthermore, Cherre’s graph is temporal: edges and nodes are being added and deleted on a timely basis. Some of the main challenges in constructing a closed-world graph from noisy data sources are entity resolution and disambiguation. In this talk, we will present parallel algorithms for entity resolution and disambiguation in Cherre’s knowledge graph, and outline our current work on assessing entity similarities using (temporal) node embedding.
Knowledge Graph Conference 2020
May 6th 2020, 11:00:00 AM
knowledge graph, entity linking, entity resolution, reasoning, , real estate

Ron Bekkerman


Cherre Inc.

Ron Bekkerman is the CTO of Cherre Inc., an AI-powered real estate data integration platform. From 2013 to 2018, Ron was Assistant Professor and Director of the Big Data Science Lab at the University of Haifa, Israel. Prior to that, he was the Chief Data Officer of Viola Ventures, a founding member of the Data Science team at LinkedIn, and a Research Scientist at HP Labs in the Bay Area. He received his B.Sc. and M.Sc. in Computer Science from the Technion – Israel Institute of Technology, and his Ph.D. in Machine Learning from the University of Massachusetts, Amherst.

Lightening talks from the Main Stage along with speaker Q&A sessions

May 4-7, 2020


Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.