- 专利标题: Automated scalable contextual data collection and extraction system
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申请号: US17002425申请日: 2020-08-25
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公开(公告)号: US11243973B2公开(公告)日: 2022-02-08
- 发明人: Jason Crabtree , Andrew Sellers
- 申请人: QOMPLX, Inc.
- 申请人地址: US VA Tysons
- 专利权人: QOMPLX, Inc.
- 当前专利权人: QOMPLX, Inc.
- 当前专利权人地址: US VA Tysons
- 代理机构: Galvin Patent Law LLC
- 代理商 Brian R. Galvin; Brian S. Boon
- 主分类号: G06F16/25
- IPC分类号: G06F16/25 ; G06F16/901 ; H04L29/06 ; G06N5/02 ; G06N3/04 ; G06F21/62 ; G06N20/00 ; G06N5/04
摘要:
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.
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