Automatic match tuning

a matching and automatic technology, applied in the field of digital computer data processing, can solve the problems of poor matching results for other types of schemas, significant effort required for enterprise application integration, etc., and achieve the effects of improving matching results, improving matching performance, and improving matching quality

Inactive Publication Date: 2005-12-15
SAP AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0013] The invention can be implemented to realize one or more of the following advantages. The invention can be used to provide enhanced matching performance, to improve the quality of matching, and/or, depending on the particular algorithms that are used, regulate the number and types of possible matches that are identified for manual review and approval. In addition to providing improved matching results for schemas that previously have been classified, the invention can also be used to provide enhanced matching results for unclassified schemas. In addition, the inven...

Problems solved by technology

Enterprise application integration can require significant effort when migrating from disparate legacy applications to a more integrated framework.
Simple, hybri...

Method used

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Embodiment Construction

[0021]FIG. 1 is a flow diagram of a process 100 for identifying matches between disparate schemas. A degree of similarity between elements of two schemas is calculated using multiple different matching techniques (step 105). Generally, a schema can be represented graphically or by a textual description of a logical relationship among different elements of the schema. The elements of a schema can be graphs, nodes, vertices, fields, leafs, or branches (i.e., groups of nodes or vertices) of the schema.

[0022] The matching techniques can use matchers that implement particular matching processes. Any number of different types of matching processes can be used. For example, the matching processes may be implemented in individual matchers that are schema-based, content-based, type-based, or semantic-based matchers. Schema-based matchers consider schema information, while content-based matchers consider instance data within a particular schema. Schema-based matchers can include per-element ...

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PUM

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Abstract

Methods and apparatus, including computer program products, for identifying matches between disparate schemas calculates a degree of similarity between elements of two schemas using each of multiple matching processes. The calculated degrees of similarity are combined using a first weighting vector to produce first combined degrees of similarity. The first weighting vector includes multiple weighting coefficients and each weighting coefficient corresponds to one of the matching processes. The weighting coefficients are tuned using information relating to a predicted degree of matching accuracy associated with the first weighting vector.

Description

BACKGROUND [0001] The present invention relates to data processing by digital computer, and more particularly to mapping elements between disparate schemas. [0002] Integration of applications in an enterprise can lead to more efficient operations. Enterprise application integration can require significant effort when migrating from disparate legacy applications to a more integrated framework. Enterprise application integration can be performed using a message exchange procedure, in which messages are exchanged between different data sets. Application data is typically organized according to the type of application or applications with which the data is designed to operate. As a result, the organization or structure of the data can be highly specialized. The messages used for enterprise application integration are generally structured sets of data in a well-defined syntax. The structure of the data can be referred to as its schema. Countless different schemas and / or schema domains (e...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06F17/22G06K9/62
CPCG06F17/2211G06K9/6292G06F17/2282G06F17/2247G06F40/16G06F40/194G06F18/254
Inventor GLAENZER, HELMUT K.STUHEC, GUNTHER
Owner SAP AG
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