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公开(公告)号:GB2604977A
公开(公告)日:2022-09-21
申请号:GB202116917
申请日:2021-11-24
Applicant: IBM
Inventor: RAGHUVEER PRASAD NAGAR , SARBAJIT K RAKSHIT , MANJIT SINGH SODHI , RAHUL JAIN
IPC: G06F3/01
Abstract: A method for enhancing the situational awareness of a user to a problem within an area. The method includes one or more computer receiving visual information corresponding to an area from a device associated with a user. The method further includes receiving data from a group of one or more sensors within the area, where the area includes a plurality of physical elements. The method further includes determining that a first problem is present within the area and a first physical element in the area that corresponds to the first problem, based on analysing the data received from the group of sensors. The method further includes generating augmented reality (AR) content related to the first problem present within the area. The method further includes displaying, via the device associated with the user, the generated AR content related to the problem within the visual information corresponding to the area.
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公开(公告)号:GB2603609A
公开(公告)日:2022-08-10
申请号:GB202117333
申请日:2021-12-01
Applicant: IBM
Inventor: MANJIT SINGH SODHI , KALAPRIYA KANNAN , POORNIMA IYENGAR
IPC: G06F16/24
Abstract: A method to sort and rank datasets. The method identifies target data fields from process documents that indicate data field preferences of a user, 112; identifies target attributes from data use documents that indicate data scope preference of the user, 114; generates metadata sets for associated datasets, 116; determines candidate datasets having a field suitability value that exceeds a certain threshold value that represents a degree of similarity between fields associated with the datasets and the target data fields, 118; assesses metadata for each dataset with regard to target attributes and generates an attribute score for each dataset where the score indicates a likelihood that the dataset will have content exhibiting certain dataset attributes, 120, and, finally, generates a list of (i.e. ranks) candidate datasets according to the attribute score, 122. Data use documents may contain a format such as Business Process Execution Language (BEPL) or Unified Modelling Language (UML). Process documents may be class, activity, sequence or component diagrams. Ranking may be based on historic use of the datasets. In this way, the method may identify relevant data that indicate which datasets would be a good match for various goals of a user (e.g., launch new product).
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