Knowledge graphs have evolved as flexible and powerful means for representing general world knowledge. Typical examples are DBpedia, Yago, or the Google Knowledge Graph, which all started off by ...

Franz’s Knowledge Graph approach 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 ...

In order to improve upon the Knowledge Graph's usability for concert-goers, Google has added four new features/upgrades. As you may remember, last year Google made updates to how musicians’ ...

Ubiquitous AI requires a new data model approach that unifies typical enterprise data with knowledge bases such as taxonomies, ontologies, industry terms and other domain knowledge. Franz’s Knowledge ...

How to import event data into Neo4j from a .csv file; How to use Cypher to identify entity types and entity identifiers; construct entity nodes and correlate events to entity nodes; infer ...

Keywords: event recognition, knowledge graph, graph based neural network, GRU, recognition strategy. Citation: Yang Y, Hu Q, Liu Y, Pan X, Gao S and Hao B (2022) Power Grid Monitoring Event ...

AI knowledge graphs produce these benefits and more advanced ones, such as determining the meaning of values in columns when they have changed over a period of time for different uses.