Automated computer visualization and interaction with big data

US10558681B2 · kind B2 · utility

Assignee

• Socrata, Inc. · US

Inventors

• Karin Hellman · Seattle, US
• Daan Lindhout · Seattle, US
• Marc Slemko · Seattle, US
• Jessica Locke · Renton, US
• Steven M. Greenberg · Seattle, US
• Franklin Williams · Layton, US
• Saf Rabah · Seattle, US
• Giacomo Ferrari · Redmond, US
• Randy Antler · Seattle, US
• Marc Millstone · Seattle, US
• Ben McInnis · Seattle, US

Key dates

• Filing date: Jan 25, 2017
• Grant date: Feb 11, 2020
• Expiry date: Aug 9, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G09B29/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Embodiments described herein provide enhanced computer- and network-based methods, techniques, and systems for automatically accessing large bodies of potentially disparate data in a compelling environment without the limitations of access provided by spreadsheet systems and in a uniform manner for all types of data. Example embodiments provide an Automated Data Visualization System (“ADVS”), which enables users to access data typically provided by backend systems of organizations in an environment that automatically presents the data using user interface patterns that align with the data. In an example embodiment, the ADVS comprises one or more functional components/modules including an attribute determination logic/engine, a visualization logic/engine, a resizing logic/engine, and a scaling logic/engine in addition to a user interface. Also, in one example embodiment the visualization utilizes a user interface card metaphor to present information.