Identifying and scoring data values
US-2016085755-A1 · Mar 24, 2016 · US
US9886489B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9886489-B2 |
| Application number | US-201514724763-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 28, 2015 |
| Priority date | Sep 23, 2014 |
| Publication date | Feb 6, 2018 |
| Grant date | Feb 6, 2018 |
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Text including at least a first term can be presented on a display. An enterprise glossary is queried to identify other terms that match the first term. Data assets to which each of the other terms are linked and which include data values for the other terms can be identified. A first score indicating a level of relevance of the respective data asset to an enterprise is assigned to each of the data assets. A frequency distribution of the data values in the data assets is determined. Based at least on the first scores indicating the level of relevance of the respective data assets to the enterprise and the frequency distribution of the data values in the data assets, second scores are assigned to each of the data values. A plurality the data values which are assigned highest of the second scores are presented on the display.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: presenting on a display text including at least a first term; querying an enterprise glossary to identify other terms that match the first term; identifying data assets to which each of the other terms that match the first term are linked and which include data values for the other terms, and assigning to each of the data assets a first score indicating a level of relevance of the respective data asset to an enterprise; determining a frequency distribution of the data values in the data assets; based at least on the first scores indicating the level of relevance of the respective data assets to the enterprise and the frequency distribution of the data values in the data assets, assigning, using a processor, second scores to each of the data values; and presenting on the display a plurality the data values which are assigned highest of the second scores. 2. The method of claim 1 , wherein assigning, using a processor, second scores to each of the data values further is based on, for each of the data values, a third score assigned to a respective other term that matches the first term indicating a level of relevance of the other term to the enterprise. 3. The method of claim 1 , wherein the second score assigned to each data value is based on a use of the data value across a plurality of the data assets. 4. The method of claim 1 , further comprising: identifying a plurality of data assets to which the first term is linked and which include data values for the first term, and assigning to each of the data assets to which the first term is linked a third score indicating a level of relevance to an enterprise; wherein assigning, using the processor, the second scores to each of the data values further is based on the third scores. 5. The method of claim 4 , wherein determining the frequency distribution of the data values in the data assets comprises determining a frequency of distribution of the data values in the plurality of data assets to which the first term is linked. 6. The method of claim 1 , wherein querying the enterprise glossary to identify the other terms that match the first term is responsive to presenting on the display the text including at least the first term. 7. The method of claim 1 , wherein querying the enterprise glossary to identify the other terms that match the first term is responsive to a user selection of the first term.
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