Extracting data from semi-structured text documents
OwnerJames Graf, Vladimir Koroteyev +4inventors
InventorsJames Graf, Vladimir Koroteyev, Eduard Mikhaylov, Elliot Bricker, Benjamin Levy, Augustinus Wong
Life of this patent
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OwnerJames Graf, Vladimir Koroteyev +4inventors
InventorsJames Graf, Vladimir Koroteyev, Eduard Mikhaylov, Elliot Bricker, Benjamin Levy, Augustinus Wong
Estimating the term…
The invention is a process, system, and workflow for extracting and warehousing data from semi-structured documents in any language. This includes, but is not limited to, one or more of methods for: the automatic building of text mining term models; the optimization or evolution of such text mining term models; the implementation of document specific (or company specific) memory; and the tying or linking of the extracted data, or metadata, once placed in a target electronic document, to the machine readable, underlying source document, thus providing verification and provenance. The process preferably incorporates a wizard-based method for producing pattern recognition text mining term models to extract data from text. The invention also includes a system, method and workflow for handling a subsequent document of similar design and structure, specifically the automatic extraction of target elements and addition of the same to a database.
1-118. (canceled)
A method for automating the extraction of information from a semi-structured document characterized by a document type that comprises design and structural characteristics of a set of similar documents, the method comprising:
A method of manually tagging and extracting terms from a semi-structured document while automatically collecting key indicators for pattern recognition, in which the tagging is the sole generation point of statistics needed for creation and optimization of an extraction model.
A method of using an extraction template having terms to extract data from a semi-structured document having tagged values, comprising providing at least one of:
A method of extracting data from a semi-structured document having a source format, comprising providing a generalized spatial and contextual file format that is independent of the source format.
A method of extracting data from a semi-structured source document, comprising providing source links for extracted data at a term level without modifying the source document, and further in which reference to the source document is provided through an abstraction enabled by a generalized intermediate format.
A method of quality control in a process of collecting data from a semi-structured source document, comprising providing at least one of document-type specific controls;
Dependencies are inferred from the claim text.