公开(公告)号：US12026185B2

公开(公告)日：2024-07-02

申请号：US17188774

申请日：2021-03-01

Applicant: Chevron U.S.A. Inc.

Inventor： Mohamed Ibrahim Mohamed ,  Larry A. Bowden, Jr. ,  Xin Feng

IPC: G06F16/332 ,  G06N5/02 ,  G06N20/00

CPC classification number: G06F16/3326 ,  G06N5/02 ,  G06N20/00

Abstract: Keywords obtained from a user and/or extracted from uploaded document(s) may be used to generate potential keywords. Documents may be identified based on the keywords and the potential keywords accepted by the user. A knowledge graph model representing the identified documents may be generated. The knowledge graph model may include document nodes representing the identified document and a search node representing the keywords. The relative position of the document nodes with respect to the search node may represent similarity between the corresponding documents and the keywords.

公开(公告)号：US20220277032A1

公开(公告)日：2022-09-01

申请号：US17188774

申请日：2021-03-01

Applicant: Chevron U.S.A. Inc.

Inventor： Mohamed Ibrahim Mohamed ,  Larry A. Bowden, JR. ,  Xin Feng

IPC: G06F16/332 ,  G06N20/00 ,  G06N5/02

Abstract: Keywords obtained from a user and/or extracted from uploaded document(s) may be used to generate potential keywords. Documents may be identified based on the keywords and the potential keywords accepted by the user. A knowledge graph model representing the identified documents may be generated. The knowledge graph model may include document nodes representing the identified document and a search node representing the keywords. The relative position of the document nodes with respect to the search node may represent similarity between the corresponding documents and the keywords.

公开(公告)号：US12106192B2

公开(公告)日：2024-10-01

申请号：US17189004

申请日：2021-03-01

Applicant: CHEVRON U.S.A. INC.

Inventor： Mohamed Ibrahim Mohamed ,  Larry A. Bowden, Jr. ,  Xin Feng

IPC: G06N20/00 ,  G06F16/901 ,  G06F16/93

CPC classification number: G06N20/00 ,  G06F16/9024 ,  G06F16/93

Abstract: Multiple sets of documents for different domains may be used to train multiple domain-specific models. A graph model may be generated to include nodes representing concepts included within the domain-specific models. A white space not including any nodes within the graph model may be identified. Analysis of the white space may be performed based on two or more nodes at periphery of the white space. Words/documents that cover the white space may be generated. Novelty of concepts may be readily assessed using the graph model/white space.

公开(公告)号：US20220277220A1

公开(公告)日：2022-09-01

申请号：US17189004

申请日：2021-03-01

Applicant: CHEVRON U.S.A. INC.

Inventor： Mohamed Ibrahim Mohamed ,  Larry A. Bowden, JR. ,  Xin Feng

IPC: G06N20/00 ,  G06F16/93

Abstract: Multiple sets of documents for different domains may be used to train multiple domain-specific models. A graph model may be generated to include nodes representing concepts included within the domain-specific models. A white space not including any nodes within the graph model may be identified. Analysis of the white space may be performed based on two or more nodes at periphery of the white space. Words/documents that cover the white space may be generated. Novelty of concepts may be readily assessed using the graph model/white space.