Extracting Structure and Semantics from Tabular Data

Patent №

US 11,650,970

Granted

2023-05-16

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15916535

Methods, systems, and computer program products for extracting structure and semantics from tabular data are provided herein. A computer-implemented method includes processing tabular data comprising data cells and header cells, wherein the processing includes: identifying one or more regions within the tabular data, wherein each of the regions comprises one or more of the data cells; matching some of the regions to one or more of the header cells, wherein the matched header cells are semantically related to the data cells inside the matched region; and generating, based on the matching, an output describing semantic relationships between the data cells and the header cells. The method also includes creating, for each data cell, a tuple comprising semantic information contained within one or more of the header cells that pertains to the data cell.

AI classification

Knowledge representation0.98
Planning0.97
AI hardware0.77
Natural language0.67
Machine learning0.04
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 451580405

Assignors

CHEN, XILUN, CHITICARIU, LAURA, EVFIMIEVSKI, ALEXANDRE, DANILEVSKY HAILPERN, MARINA, SEN, PRITHVIRAJ

On an employer assignment, the assignors are typically the inventors.

From the same owner

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