Industry-Scale Knowledge Graphs
Knowledge graphs are critical to many enterprises today: They provide the structured data and factual knowledge that drive many products and make them more intelligent and "magical." In general, a knowledge graph describes objects of interest and connections between them. For example, a knowledge graph may have nodes for a movie, the actors in this movie, the director, and so on. Each node may have properties such as an actor's name and age. There may be nodes for multiple movies involving a particular actor. The user can then traverse the knowledge graph to collect information on all the movies in which the actor appeared or, if applicable, directed. Many practical implementations impose constraints on the links in knowledge graphs by defining a schema or ontology. For example, a link from a movie to its director must connect an object of type Movie to an object of type Person. In some cases the links themselves might have their own properties: a link connecting an actor and a movie might have the name of the specific role the actor played. Similarly, a link connecting a politician with a specific role in government might have the time period during which the politician held that role.
Jul-25-2019, 16:51:05 GMT
- AI-Alerts:
- 2019 > 2019-07 > AAAI AI-Alert for Jul 30, 2019 (1.00)
- Country:
- North America > United States > Tennessee (0.14)
- Industry:
- Health & Medicine > Therapeutic Area
- Oncology (1.00)
- Information Technology > Services (1.00)
- Leisure & Entertainment > Sports (1.00)
- Media > Film (1.00)
- Health & Medicine > Therapeutic Area
- Technology: