- Patent Title: Automated scalable contextual data collection and extraction system
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Application No.: US16919231Application Date: 2020-07-02
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Publication No.: US11314764B2Publication Date: 2022-04-26
- Inventor: Jason Crabtree , Andrew Sellers
- Applicant: QOMPLX, Inc.
- Applicant Address: US VA Tysons
- Assignee: QOMPLX, Inc.
- Current Assignee: QOMPLX, Inc.
- Current Assignee Address: US VA Tysons
- Agency: Galvin Patent Law LLC
- Agent Brian R. Galvin; Brian S. Boon
- Main IPC: G06F16/25
- IPC: G06F16/25 ; G06F16/901 ; H04L29/06 ; G06N5/02 ; G06N3/04 ; G06F21/62 ; G06N20/00 ; G06N5/04

Abstract:
A system for contextual data collection and extraction is provided, comprising an extraction engine configured to receive context from a user for desired information to extract, connect to a data source providing a richly formatted dataset, retrieve the richly formatted dataset, process the richly formatted dataset and extract information from a plurality of linguistic modalities within the richly formatted, and transform the extracted data into a extracted dataset; and a knowledge base construction service configured to retrieve the extracted dataset, create a knowledge base for storing the extracted dataset, and store the knowledge base in a data store.
Public/Granted literature
- US20210056117A1 AUTOMATED SCALABLE CONTEXTUAL DATA COLLECTION AND EXTRACTION SYSTEM Public/Granted day:2021-02-25
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