Invention Grant
- Patent Title: Ranking datasets based on data attributes
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Application No.: US17125935Application Date: 2020-12-17
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Publication No.: US11436237B2Publication Date: 2022-09-06
- Inventor: Manjit Singh Sodhi , Kalapriya Kannan , Poornima Iyengar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Michael A. Petrocelli
- Main IPC: G06F7/08
- IPC: G06F7/08 ; G06F16/2457

Abstract:
Ranking a group of datasets using a computer includes determining a set of target data fields from a set of process documents that indicate user data field preferences. A set of target dataset attributes from a set of data use documents indicate user data scope preferences. A plurality of metadata sets for an associated plurality of datasets the computer determines having a field suitability value exceeding a predetermined suitability threshold value. The FSV represents a degree of similarity between a set of fields associated with said dataset and the set of target data fields. The computer assesses metadata sets with regard to the target attributes and generates a compared attribute score for each candidate dataset. A degree of likelihood is indicated that an associated dataset will have content exhibiting said target dataset attributes. The computer candidate datasets is based on the compared attribute score.
Public/Granted literature
- US20220197914A1 RANKING DATASETS BASED ON DATA ATTRIBUTES Public/Granted day:2022-06-23
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