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公开(公告)号：US11461293B2
公开(公告)日：2022-10-04
申请号：US16544701
申请日：2019-08-19
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F16/00 , G06F16/21 , G06F16/25 , G06F16/215
摘要： Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.
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公开(公告)号：US11455588B2
公开(公告)日：2022-09-27
申请号：US17327409
申请日：2021-05-21
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
摘要： Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving input defining a validation point, the validation point comprising at least two or more validation functions applicable to (i) raw data and (ii) other data stored within a semantic network comprising nodes and links, importing source data; applying one or more transformations to the source data, populating the source data into one or more of the nodes and links comprising the semantic network, executing the validation point with respect the source data, based on the executing, determining one or more rules associated with the validation point are not satisfied, and based on the determining, revising either the source data or the other data stored within the semantic network.
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公开(公告)号：US11727129B2
公开(公告)日：2023-08-15
申请号：US17716738
申请日：2022-04-08
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F21/62 , G06F3/0482 , G06F16/22 , G06F9/451
CPC分类号： G06F21/62 , G06F3/0482 , G06F9/451 , G06F16/22
摘要： Disclosed herein is a process that involves receiving an indication of an instance of a semantic network, the semantic network comprising conceptual data components and associative data components, receiving a selection of one or more of the conceptual data components and associative data components of the instance of the semantic network, the selection comprising an indication to block the selected one or more conceptual data components and associative data components or selectively filter the selected one or more conceptual data components and associative data components, and presenting a visualization of the semantic network, the visualization being configured to exclude data related to the selected one or more conceptual data components and associative data components or include data related to the selected one or more conceptual data components and associative data components and exclude data not related to the selected one or more conceptual data components and associative data components.
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公开(公告)号：US10909160B2
公开(公告)日：2021-02-02
申请号：US16425886
申请日：2019-05-29
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
摘要： Disclosed herein is new approach for structuring an organization's data, involving at a high level establishing a digital context and populating the digital context with digital content to thereby form what is referred to herein as a digital duplicate. In one aspect, the disclosed approach may be embodied in a computer-implemented method that involves: establishing a data structure comprising (i) a structural context that has at least one data component, where each component of the structural context has associated therewith one or more respective data properties (ii) a semantic context that has at least two data types that further describe individual data properties and; and populating underlying data into an instance of the data structure such that underlying data populated into each respective property of the at least one data component has each of the at least two data types of the semantic context.
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公开(公告)号：US11886395B2
公开(公告)日：2024-01-30
申请号：US17958494
申请日：2022-10-03
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F16/00 , G06F16/21 , G06F16/25 , G06F16/215
CPC分类号： G06F16/213 , G06F16/212 , G06F16/215 , G06F16/258
摘要： Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.
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公开(公告)号：US20230177025A1
公开(公告)日：2023-06-08
申请号：US17958494
申请日：2022-10-03
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F16/21 , G06F16/25 , G06F16/215
CPC分类号： G06F16/213 , G06F16/212 , G06F16/215 , G06F16/258
摘要： Disclosed herein is a process that involves retrieving a data model for a data source, establishing at least one filter operation or at least one clean operation that modifies an aspect of the retrieved data model, onboarding underlying data from the data source while applying the established at least one filter operation or at least one clean operation, defining at least one transformation operation to apply to a portion of the underlying data that has been onboarded, and applying the at least one transformation operation to the portion of the underlying data to thereby assign the data to a semantic network, the semantic network comprising conceptual data components and associative data components.
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公开(公告)号：US11580479B2
公开(公告)日：2023-02-14
申请号：US17466823
申请日：2021-09-03
发明人： Subbarao Turlapati , Vinay Sikka , Seshadri Guha
IPC分类号： G06Q10/00 , G06F40/00 , G06F8/00 , G06F11/00 , G06Q10/0637 , G06F40/30 , G06F8/71 , G06F11/14
摘要： Disclosed herein are techniques and tools for verifying data for semantic correctness and/or verifying data for network correctness. In one respect, a method includes receiving an input defining at least two master nodes and at least one master link, each master node having at least one or more respective data properties populated with master node data and the master link having at least one or more master link data, the master nodes and master link defining a master semantic network, importing source data into a second semantic network, comparing the source data to the master node data and making a first determination that the source data reflects a data relationship defined by the master node data, and based on the first determination, populating the source data into the second semantic network, wherein the source data populated within the second semantic network reflects the data relationship defined by the master node data and the master link data.
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公开(公告)号：US20220300629A1
公开(公告)日：2022-09-22
申请号：US17716738
申请日：2022-04-08
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F21/62 , G06F3/0482 , G06F16/22 , G06F9/451
摘要： Disclosed herein is a process that involves receiving an indication of an instance of a semantic network, the semantic network comprising conceptual data components and associative data components, receiving a selection of one or more of the conceptual data components and associative data components of the instance of the semantic network, the selection comprising an indication to block the selected one or more conceptual data components and associative data components or selectively filter the selected one or more conceptual data components and associative data components, and presenting a visualization of the semantic network, the visualization being configured to exclude data related to the selected one or more conceptual data components and associative data components or include data related to the selected one or more conceptual data components and associative data components and exclude data not related to the selected one or more conceptual data components and associative data components.
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公开(公告)号：US20200380024A1
公开(公告)日：2020-12-03
申请号：US16425886
申请日：2019-05-29
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
摘要： Disclosed herein is new approach for structuring an organization's data, involving at a high level establishing a digital context and populating the digital context with digital content to thereby form what is referred to herein as a digital duplicate. In one aspect, the disclosed approach may be embodied in a computer-implemented method that involves: establishing a data structure comprising (i) a structural context that has at least one data component, where each component of the structural context has associated therewith one or more respective data properties (ii) a semantic context that has at least two data types that further describe individual data properties and; and populating underlying data into an instance of the data structure such that underlying data populated into each respective property of the at least one data component has each of the at least two data types of the semantic context.
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公开(公告)号：US20240184903A1
公开(公告)日：2024-06-06
申请号：US18449009
申请日：2023-08-14
发明人： Seshadri Guha , Vinay Sikka , Subbarao Turlapati
IPC分类号： G06F21/62 , G06F3/0482 , G06F9/451 , G06F16/22
CPC分类号： G06F21/62 , G06F3/0482 , G06F9/451 , G06F16/22
摘要： Disclosed herein is a process that involves receiving an indication of an instance of a semantic network, the semantic network comprising conceptual data components and associative data components, receiving a selection of one or more of the conceptual data components and associative data components of the instance of the semantic network, the selection comprising an indication to block the selected one or more conceptual data components and associative data components or selectively filter the selected one or more conceptual data components and associative data components, and presenting a visualization of the semantic network, the visualization being configured to exclude data related to the selected one or more conceptual data components and associative data components or include data related to the selected one or more conceptual data components and associative data components and exclude data not related to the selected one or more conceptual data components and associative data components.
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