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公开(公告)号:US11216425B2
公开(公告)日:2022-01-04
申请号:US16584585
申请日:2019-09-26
Applicant: Infosys Limited
Inventor: Radha Krishna Pisipati , Jianlin Zhang , Shreyas Bettadapura Guruprasad , Uma Devi Ganugula , Krishnamurty Sai Deepak
Abstract: A system and method of recognizing data in a table area from unstructured data includes a computer network, one or more processors communicatively coupled with the computer network, a storage location, and a graph-theoretic engine that receives an input stream of unstructured data associated. A table area is recognized from unstructured data, through one or more computer processors, from an input stream of unstructured data received over a computer network. One or more table headers associated with the detected one or more table areas are recognized. Further, one or more column delimiters associated with each column of the detected one or more table areas are determined. One or more tabular data associated with the detected one or more table areas are extracted. The extracted tabular data is mapped to one or more target schema to store onto a relational database.
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公开(公告)号:US20200097451A1
公开(公告)日:2020-03-26
申请号:US16584585
申请日:2019-09-26
Applicant: Infosys Limited
Inventor: Radha Krishna Pisipati , Jianlin Zhang , Shreyas Bettadapura Guruprasad , Uma Devi Ganugula , Krishnamurty Sai Deepak
Abstract: A system and method of recognizing data in a table area from unstructured data includes a computer network, one or more processors communicatively coupled with the computer network, a storage location, and a graph-theoretic engine that receives an input stream of unstructured data associated. A table area is recognized from unstructured data, through one or more computer processors, from an input stream of unstructured data received over a computer network. One or more table headers associated with the detected one or more table areas are recognized. Further, one or more column delimiters associated with each column of the detected one or more table areas are determined. One or more tabular data associated with the detected one or more table areas are extracted. The extracted tabular data is mapped to one or more target schema to store onto a relational database.
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