Generating Attribute Recommendations

Generating Suggestions

The machine learning part of the schema mapping process generates mapping suggestions. You can choose how similar attributes for Tamr suggestions should be by using the sliding bar on the Schema Mapping page. Once you perform a small number of mappings manually or import them, select Learn from mappings and then choose Generate mapping suggestions.

Once Tamr generates suggested mappings from machine learning for a particular attribute in the input or unified dataset, you can review the results.

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Adjusting the Similarity Score

Tamr may suggest multiple potential mappings. The similarity score for all mappings is displayed next to the attribute name in parentheses.
If no suggested attributes appear, decrease the percentage on the similarity bar. Tamr will only display recommendations that are at least as similar as the number on the slider, and if that number is too high it may appear that there are no recommendations.

• If at least one suggestion exists for an atttribute, an orange lightbulb appears.
• The number next to the lightbulb indicates the number of suggested mappings that Tamr finds at the specified similarity threshold.
• An attribute name next to the lightbulb indicates this is the only attribute suggestion that Tamr recommends at the similarity score you specified.

Repeat this process as you accept or reject suggestions, or add new datasets to the project.

Accepting or Rejecting Schema Mapping Suggestions

To accept or reject suggestions:

1. Accept suggestions in one of three ways:

• Hover over the lightbulb next to the unified attribute. Then, hover over each individual attribute in the input dataset that appears under Suggestions and choose Map.
• Hover over the lightbulb next to the attribute in the input dataset. Then, hover over each individual unified attribute that appears under Suggestions and choose Map.
• Select one or more input dataset attributes and choose To Top Suggestion or To Suggestions from the Map drop-down menu.

2. Accept or relabel a number of attributes in the input datasets. Once you accept a suggestion made by Tamr, the lightbulb decreases its counter, or disappears if no suggestions remain. If Tamr is incorrect, override the suggestion and map the attribute to the correct unified attribute.
3. Repeat the process. Choose Learn from Mappings and Generate Mapping Suggestions.