In this demo we present the SemFacet system for faceted search over ontology enhanced Knowledge Graphs (KGs) stored in RDF. SemFacet allows users to query KGs with relatively complex SPARQL queries via an intuitive Amazon-like interface. SemFacet can compute faceted interfaces over large scale RDF datasets by relying on incremental algorithms and over large ontologies by exploiting ontology projection techniques. SemFacet relies on an in-memory triple store and current implementation bundles JRDFox, Sesame, Stardog, and PAGOdA. During the demonstration the attendees can try SemFacet by exploring Yago KG.