Hierarchy
⤷ BC-EIM-IQM-IC (Application Component) Information Consistency
⤷ S_IC_FINE_MATCH_CONFIG (Package) Information Consolidation Fine-Match Configuration
Basic Data
Data Element | SIC_FM_MULTI_NODE_STRATEGY |
Short Description | Definition of Comparison Strategy for Node Instances |
Data Type
Category of Dictionary Type | D | Domain |
Type of Object Referenced | No Information | |
Domain / Name of Reference Type | SIC_FM_MULTI_NODE_STRATEGY | |
Data Type | NUMC | Character string with only digits |
Length | 2 | |
Decimal Places | 0 | |
Output Length | 2 | |
Value Table |
Further Characteristics
Search Help: Name | ||
Search Help: Parameters | ||
Parameter ID | ||
Default Component name | ||
Change document | ||
No Input History | ||
Basic direction is set to LTR | ||
No BIDI Filtering |
Field Label
Length | Field Label | |
Short | 10 | MultiValue |
Medium | 20 | Multi-Value Strategy |
Long | 20 | Multi-Value Strategy |
Heading | 20 | Multi-Value Strategy |
Documentation
Definition
Node
Strategy if there is more than one instance for a node.
This strategy is only valid for child nodes of hierarchic objects. This field is initial for flat objects and for the uppermost node of a hierarchic object.
Field
Strategy if multiple values or tokens are to be compared for a field.
This strategy is also valid for field groups. In this case you need a strategy for obtaining a similarity value for the field or field group from the similarity values of the value pairs.
Strategies
There are the following strategies:
- One value / token must match
The similarity value of the field is defined by the similarity value of a value pair. In this case the similarity values of all value pairs are determined. The largest value obtained is the similarity value of the field.
- All values / tokens must match without order
Here, too, each value of the source field is compared with each value of the target field, resulting in a similarity matrix. The similarity value of the field is defined as follows: All possible sums of similarity values are calculated from the similarity matrix; there is exactly one value from each row and each column. The similarity value of the field is defined by the largest sum that you get in this way divided by the number of addends.
- All values / tokens must match in order
The procedure is as described under point 2, but a value of the source field may only be compared with values of the target field following the last compared value of the target field. In this way you retain the order of the field values. The similarity value of the field is reflected by the largest sum you obtain in this way divided by the number of addends.
- More than one value / token must match without order
The procedure is as described under point 2, but sub-matrixes of the similarity matrix are also taken into consideration. The smallest sub-matrix has two rows and two columns. The similarity value of the field is reflected by the largest sum that you obtain in this way divided by the number of addends. In contrast to point 2, you might get a larger similarity value by not taking all values into consideration.
- More than one value / token must match in order
The procedure for this strategy is a combination of the strategies described under points 2 and 4.
In the case of strategies 2 5, you use strategy 1 if either the source field or the target field has only one field value.
Use
Dependencies
Example
History
Last changed by/on | SAP | 20110908 |
SAP Release Created in | 710 |