Multi-database document search system architecture

US11210349B1 · kind B1 · utility

Assignee

• Palantir Technologies Inc. · US

Inventors

• Eric Schwartz · Brooklyn, US
• Alexander Bores · New York, US
• Alexander Martino · New York, US
• Brendan Berg · Seattle, US
• Charles Sharzer · New York, US
• Doron Shapiro · Chesterfield, US
• Enoch Hsiao · Washington, US
• Eric Knudson · Washington, US
• Landon Bell · Washington, US
• Martin Manville · Washington, US
• Michael Platek · Alexandria, US
• Nathan Bruner · Palo Alto, US
• Robert Giardina · Falls Church, US
• Sarah Beckoff · Jerusalem, IL
• Tri Tang · Washington, US
• William Brady · Washington, US
• Wenshuai Hou · Arlington, US

Key dates

• Filing date: Aug 2, 2018
• Grant date: Dec 28, 2021
• Expiry date: Apr 11, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/248
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A document review system is configured to quickly provide search results for large amounts of documents. Ontology templates are used to generate objects and links based on the documents. Users can view documents, and linked objects and object properties can be displayed. An index assisted search can be performed to determine the linked objects and object properties. A supplemental search can be performed on a second database that tracks modifications to the documents or objects. The modifications in the second database can be periodically written to the first database, and the index can be rebuilt. The user experience can be free of slow searches and slow index rebuilds.