DATA FEATURE TRACKING THROUGH HIERARCHICAL NODE SETS

Patent №

US 8,307,010

Granted

2012-11-06

Filed 2008

Owner

MICROSOFT CORPORATION

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12238877

A data set may be represented as a hierarchical node set, comprising interrelated nodes that respectively include various data features (e.g., versions in a version-controlled software architecture.) Queries may be formulated regarding the inclusion of a particular feature in the nodes of the hierarchical data set (“does this node include this data feature?” and “what is the path of the data feature through the node set?”) Such queries may be evaluated by identifying a source node that includes the data feature, identifying candidate merge paths from the source node to the taget node, and determining whether the nodes of any candidate merge path include the data feature. The results may be presented to the user, e.g., as a visual layout of the portion of the hierarchical node set that includes the data feature or a timeline of nodes illustrating the path of the data feature over time.

AI classification

Planning0.99
Knowledge representation0.99
Natural language0.98
Machine learning0.81
AI hardware0.45
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 217000508

Assignors

RAMAKRISHNAN, CHANDRU, HARRY, CRAIG, RODRIGUEZ, MARIO A., PRESTO, JIM, PHAN, TAN

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

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