System for entity search and a method for entity scoring in a linked document database

Xifeng Yan (Inventor), Kevin Chen-Chuan Chang (Inventor), Tao Cheng (Inventor)

Research output: Patent

Abstract

A system has a processor coupled to access a document database that indexes keywords and instances of entities having entity types in a plurality of documents. The processor is programmed to receive an input query including one or more keywords and one or more entity types, and search the database for documents having the keywords and entities with the entity types of the input query. The processor is programmed for aggregating a respective score for each of a plurality of entity tuples across the plurality of documents. The aggregated scores are normalized. Each respective normalized score provides a ranking of a respective entity tuple, relative to other entity tuples, as an answer to the input query. The processor has an interface to a storage or display device or network for outputting a list including a subset of the entity tuples having the highest normalized scores among the plurality of entity tuples.
Original languageEnglish (US)
U.S. patent number8117208
Filing date9/19/08
StatePublished - Feb 14 2012

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