Developing event-specific provisional knowledge graphs

A system comprising one or more processors and memory storing instructions that, in response to execution of the instructions by the one or more processors, cause the one or more processors to:

• analyze two or more live data streams;
• based on the analysis, identify one or more entities associated with a developing event, wherein the one or more entities form part of a general-purpose knowledge graph that includes a plurality of entity nodes and a plurality of edges between the plurality of entity nodes, wherein the plurality of entity nodes represent entities and the plurality of edges represent relationships between the entities;
• based on the identified one or more entities, construct or update an event-specific provisional knowledge graph associated with the developing event,
• wherein the event-specific provisional knowledge graph shares one or more entity nodes with the general-purpose knowledge graph, and
• wherein the event-specific provisional knowledge graph includes one or more additional nodes or edges, not found in the general-purpose knowledge graph, that convey a relationship between the identified one or more entities and the developing event;
• and
• in response to the construction or update, query the event-specific provisional knowledge graph for new information about the developing event;
• and
• causing one or more computing devices to render, as output, the new information.

At least one non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to perform the following operations:

• analyzing two or more live data streams;
• based on the analyzing, identifying one or more entities associated with a developing event, wherein the one or more entities form part of a general-purpose knowledge graph that includes a plurality of entity nodes and a plurality of edges between the plurality of entity nodes, wherein the plurality of entity nodes represent entities and the plurality of edges represent relationships between the entities;
• based on the identified one or more entities, constructing or updating an event-specific provisional knowledge graph associated with the developing event,
• wherein the event-specific provisional knowledge graph shares one or more entity nodes with the general-purpose knowledge graph, and
• wherein the event-specific provisional knowledge graph includes one or more additional nodes or edges, not found in the general-purpose knowledge graph, that convey a relationship between the identified one or more entities and the developing event;
• and
• in response to the constructing or updating, querying the event-specific provisional knowledge graph for new information about the developing event;
• and
• causing one or more computing devices to render, as output, the new information.