SYSTEM AND METHOD FOR STORAGE, MANAGEMENT AND AUTOMATIC INDEXING OF STRUCTURED DOCUMENTS

Patent №

US 7,844,633

Granted

2010-11-30

Filed 2007

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

nlp · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11855011

A structured document storage and management technique utilizes a generic document model tree, a symbol conversion module and an encoded vector set to store structured documents. The generic document model tree represents a structured document model and contains one or more structured document nodes without storing node data unique to any particular structured document. The symbol conversion module contains untagged data associated with the one or more structured document nodes, and representing node data for particular structured documents. The symbol conversion module also maintains a value code in association with each untagged data element. The encoded vector set includes one or more encoded vectors corresponding to the one or more structured document nodes having associated untagged data. Each encoded vector contains one of the value codes at an index position that corresponds to a particular structured document. The disclosed technique allows structured documents to be efficiently stored, organized, and searched.

AI classification

Knowledge representation1.00
AI hardware0.99
Natural language0.68
Machine learning0.23
Vision0.00
Evolutionary computation0.00
Planning0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 198230660

Assignors

MISZCZYK, JAROSLAW, BAUDE, BRENT J., SCHIMUNEK, GOTTFRIED, BITTNER, ROBERT A.

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

From the same owner

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