Invention Grant
- Patent Title: Deep search embedding of inferred document characteristics
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Application No.: US15940794Application Date: 2018-03-29
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Publication No.: US11768804B2Publication Date: 2023-09-26
- Inventor: Kirk Steven Tecu
- Applicant: Konica Minolta Business Solutions U.S.A., Inc.
- Applicant Address: US CA San Mateo
- Assignee: Konica Minolta Business Solutions U.S.A., Inc.
- Current Assignee: Konica Minolta Business Solutions U.S.A., Inc.
- Current Assignee Address: US CA San Mateo
- Agency: Osha Bergman Watanabe & Burton LLP
- Main IPC: G06F16/14
- IPC: G06F16/14 ; G06F16/80 ; G06F16/16 ; G06F16/33

Abstract:
A method for generating a searchable file from a document. The method includes identifying an object within the document and a formatting attribute of the object, determining an inferred semantic characteristic of the object by comparing the formatting attribute with a plurality of inference rules, wherein the inferred semantic characteristic comprises an estimation of author-defined semantic characteristic of the object, generating metadata based at least on the inferred semantic characteristic and the formatting attribute of the object, wherein the metadata comprises text data that is searchable by a search application for the searchable file to identify the object within the searchable file, and generating, based on the document, the searchable file comprising the metadata.
Public/Granted literature
- US20190303452A1 DEEP SEARCH EMBEDDING OF INFERRED DOCUMENT CHARACTERISTICS Public/Granted day:2019-10-03
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