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AssigneeGoogle Inc.
InventorsJustin Boyan, Glenn McDonald, Margaret Benthall, Ray Molnar
Estimating the term…
Methods and systems to model and acquire data from a variety of data and information sources, to integrate the data into a structured database, and to manage the continuing reintegration of updated data from those sources over time. For any given domain, a variety of individual information and data sources that contain information relevant to the schema can be identified. Data elements associated with a schema may be identified in a training source, such as by user tagging. A formal grammar may be induced appropriate to the schema and layout of the training source. A Hidden Markov Model (HMM) corresponding to the grammar may learn where in the sources the elements can be found. The system can automatically mutate its schema into a grammar matching the structure of the source documents. By following an inverse transformation sequence, data that is parsed by the mutated grammar can be fit back into the original grammar structure, matching the original data schema defined through domain modeling. Features disclosed herein may be implemented with respect to web-scraping and data acquisition, and to represent data in support of data-editing and data-merging tasks. A schema may be defined with respect to a graph-based domain model.
A non-transitory computer readable storage medium storing at least one program configured for execution by at least one processor of a computer system, the at least one program comprising instructions to:
A system for extracting and integrating information from one or more sources, comprising:
A computer-implemented method for extracting and integrating information from one or more sources, comprising:
Dependencies are inferred from the claim text.