  In this paper, we present CogNet, a knowledge base (KB) dedicated to
integrating three types of knowledge: (1) linguistic knowledge from FrameNet,
which schematically describes situations, objects and events. (2) world
knowledge from YAGO, Freebase, DBpedia and Wikidata, which provides explicit
knowledge about specific instances. (3) commonsense knowledge from ConceptNet,
which describes implicit general facts. To model these different types of
knowledge consistently, we introduce a three-level unified frame-styled
representation architecture. To integrate free-form commonsense knowledge with
other structured knowledge, we propose a strategy that combines automated
labeling and crowdsourced annotation. At present, CogNet integrates 1,000+
semantic frames from linguistic KBs, 20,000,000+ frame instances from world
KBs, as well as 90,000+ commonsense assertions from commonsense KBs. All these
data can be easily queried and explored on our online platform, and free to
download in RDF format for utilization under a CC-BY-SA 4.0 license. The demo
and data are available at http://cognet.top/.
