Amazon Entity Resolution Rule Based Properties Structure
An object which defines the list of matching rules to run and has a field Rules, which is a list of rule objects.
Type: objectProperties: 2Required: 2
Amazon Web ServicesData IntegrationData MatchingEntity ResolutionMachine-Learning
RuleBasedProperties is a JSON Structure definition published by Amazon Entity Resolution, describing 2 properties, of which 2 are required. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.
{
"$schema": "https://json-structure.org/meta/core/v0/#",
"$id": "https://raw.githubusercontent.com/api-evangelist/amazon-entity-resolution/refs/heads/main/json-structure/amazon-entity-resolution-rule-based-properties-structure.json",
"name": "RuleBasedProperties",
"description": "An object which defines the list of matching rules to run and has a field <code>Rules</code>, which is a list of rule objects.",
"type": "object",
"properties": {
"attributeMatchingModel": {
"allOf": [
{
"$ref": "#/components/schemas/AttributeMatchingModel"
},
{
"description": "You can either choose <code>ONE_TO_ONE</code> or <code>MANY_TO_MANY</code> as the AttributeMatchingModel. When choosing <code>MANY_TO_MANY</code>, the system can match attribute across the sub-types of an attribute type. For example, if the value of the Email field of Profile A and the value of BusinessEmail field of Profile B matches, the two profiles are matched on the Email type. When choosing <code>ONE_TO_ONE</code> the system can only match if the sub-types are exact matches. For example, only when the value of the Email field of Profile A and the value of the Email field of Profile B matches, the two profiles are matched on the Email type."
}
]
},
"rules": {
"allOf": [
{
"$ref": "#/components/schemas/RuleBasedPropertiesRulesList"
},
{
"description": "A list of Rule objects, each of which have fields <code>RuleName</code> and <code>MatchingKeys</code>."
}
]
}
},
"required": [
"attributeMatchingModel",
"rules"
]
}
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