“Knowledge Graphs (KGs) have become immensely popular in recent years, both in industry and academia. Although graphs have been ubiquitous in AI and knowledge discovery since the earliest days, the Google Knowledge Graph led to the realization that representing ‘knowledge’ by way of sets of triples, often automatically extracted from raw data, could be used to power rich applications like knowledge panels and semantic search. Academic and industrial interest in the subject flourished soon after, with research published across topics as diverse as Entity Resolution and knowledge graph embeddings (primarily in venues like NIPS, AAAI and KDD), to representation and reasoning over knowledge graphs (primarily in venues like VLDB and ISWC). More recently, with the rapid rise and ongoing growth of e-commerce, there has been growing interest from major retailers and e-commerce players alike, including Walmart, Amazon and Home Depot, to adopt knowledge graphs (or an analogous graph-based technology like Amazon’s Product Graph) for facilitating rich machine learning and e-commerce applications. This workshop will cover knowledge discovery and knowledge graphs, including construction, application and embeddings, primarily for e-commerce and enterprise applications.”

This workshop is held in conjunction with KDD 2020 (Knowledge Discovery and Data Mining 2020). See this KDD 2020 news item about the format of the conference in light of the COVID-19 pandemic.

Read more on the event website

Aaron Bradley

Aaron Bradley is Senior Structured Content Architect at Telus Digital, and chief cook and bottle washer at The Graph Lounge.

thegraphlounge.com