Invention Grant
- Patent Title: Subject-matter analysis of tabular data
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Application No.: US15362138Application Date: 2016-11-28
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Publication No.: US10229154B2Publication Date: 2019-03-12
- Inventor: Donna K. Byron , Scott N. Gerard , Alexander Pikovsky , Matthew B. Sanchez
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Reza Sarbakhsh
- Main IPC: G06F17/22
- IPC: G06F17/22 ; G06F17/30 ; G06F17/24

Abstract:
A method, system, and computer program product for subject-matter analysis of tabular data are provided in the illustrative embodiments. A first document including the tabular data is received. A library of functional signatures for a first subject-matter domain is selected. A determination is made whether a threshold number of functional signatures from the selected library are applicable to the tabular data, wherein a functional signature is applicable to the tabular data when values in the tabular data correspond to an operation and a table structure specified in the functional signature. Responsive to the threshold number of functional signatures from the selected library being applicable to the tabular data, a processor and a memory process the first document according to a process for the first subject matter domain selected from a plurality of processes for respective subject matter domains.
Public/Granted literature
- US20170075983A1 SUBJECT-MATTER ANALYSIS OF TABULAR DATA Public/Granted day:2017-03-16
Information query