Document annotation based on enterprise knowledge graph
Abstract:
Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. The computer system generates an Aho Corasick trie including an entity name for each of the plurality of entities in the knowledge graph. The computer system compares a document viewed by a user to a plurality of templates defining potential entity names to identify extracts of the document matching at least one of the plurality of templates. The computer system applies the document to the Aho Corasick trie to determine potential entity names within the document that each match a respective one of the plurality of entities in the knowledge graph. The computer system annotates one or more matching entity names within the document with information from the knowledge graph for the respective ones of the plurality of entities to show, for example, a topic card providing information about the respective entities.
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