DERIVING HIERARCHICAL ORGANIZATION FROM A SET OF TAGGED DIGITAL OBJECTS

Patent №

US 7,979,388

Granted

2011-07-12

Filed 2006

Owner

MICROSOFT CORPORATION

AI components

4

nlp · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11601178

A method of and system for deriving hierarchical structure from a set of digital objects is presented. The set of digital objects, such as digital images for example, may include a plurality of digital objects each associated with a data tag (such as a date, location, and/or text description, for example) that is part of a flat property set that does not encode the hierarchical relationships of the data objects. The set of digital objects may be filtered by a query and a query engine. Each data tag of each digital object may be compared on the basis of a relationship, such as mathematical equality, proximity in value, and/or similarity of text strings, for example. A hierarchical data structure may be established that includes a parent data segment and a child data segment, each labeled with a related data tag and populated with one or more related digital objects. The hierarchical data structure may be represented by a tree or by nested folders.

Natural languageVisionKnowledge representationPlanningG06F 16/58G06F 16/48G06F 16/487G06F 16/51G06F 16/587

AI classification

Knowledge representation0.99
Natural language0.98
Vision0.97
Planning0.92
AI hardware0.04
Evolutionary computation0.00
Machine learning0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 187010458

Assignors

KHOURY, SAMI

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

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