Interactive Visualization Of Sender and Recipient Information In Electronic Communications

Patent №

US 8,819,002

Granted

2014-08-26

Filed 2013

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

1

nlp

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13859255

An approach is provided that visually distinguishes between entity types in a communication system. A Data store with entities is queried, with entities connected to one another as senders and receivers, resulting in a query result. A node data structure corresponding to each of the entities is created and an edge data structure corresponding to each of the connections between the entities is also created. Nodes corresponding to the node data structures are displayed, along with edges (e.g., connection lines) corresponding to the edge data structures. A user selects one of the nodes that is displayed, and the selected node is visually highlighted. Different types of non-selected nodes are identified based on the selected node. Types of nodes may include sender type nodes, receiver type nodes, and sender/receiver type nodes. The types of identified nodes are highlighted in a manner that visually distinguishes each type from the other types.

Natural languageG06F 16/44G06F 16/2425G06F 16/34G06F 16/93G06F 16/20G06F 16/40

AI classification

Natural language0.91
AI hardware0.25
Evolutionary computation0.10
Knowledge representation0.06
Machine learning0.02
Vision0.02
Planning0.01
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 302390351

Assignors

FIGUEROA, SARAH CHRISTINE, NG, KENNEY, RAUCH, THYRA LYNNE

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

From the same owner

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