US Patent Application 17729957. EXPLORING ENTITIES OF INTEREST OVER MULTIPLE DATA SOURCES USING KNOWLEDGE GRAPHS simplified abstract
EXPLORING ENTITIES OF INTEREST OVER MULTIPLE DATA SOURCES USING KNOWLEDGE GRAPHS
Organization Name
Microsoft Technology Licensing, LLC
Inventor(s)
Sarah Panda of Bothell WA (US)
Harsh Shrivastava of Redmond WA (US)
EXPLORING ENTITIES OF INTEREST OVER MULTIPLE DATA SOURCES USING KNOWLEDGE GRAPHS - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17729957 Titled 'EXPLORING ENTITIES OF INTEREST OVER MULTIPLE DATA SOURCES USING KNOWLEDGE GRAPHS'
Simplified Explanation
The abstract describes methods and systems for analyzing textual data. It explains that these methods and systems can identify entities and relationships within the text, and create knowledge graphs based on this information. The knowledge graphs can be expanded by applying functions to the nodes, and additional knowledge graphs can be generated from different data sources. Finally, a merged knowledge graph is created by combining the initial and second knowledge graphs.
Original Abstract Submitted
The present disclosure relates to methods and systems for exploring textual data. The methods and systems identify entities and the relations among the entities within the text of an initial data source and generate knowledge graphs on-the-fly for the identified entities and the relations. The methods and systems apply one or more functions on the nodes of an initial knowledge graph and extend the initial knowledge graph in response to the one or more functions applied. The methods and systems use a different data source to generate a second knowledge graph for the extended initial knowledge graph. The methods and systems generate a merged knowledge graph with the initial knowledge graph and the second knowledge graph.
