Ontology and Schema Evolution in Data Integration: Review and Assessment

2009 ◽  
pp. 932-947 ◽  
Author(s):  
Haridimos Kondylakis ◽  
Giorgos Flouris ◽  
Dimitris Plexousakis
Keyword(s):  
Data Integration ◽  
Schema Evolution

XML SCHEMA MATCHING

2007 ◽  
Vol 17 (05) ◽  
pp. 575-597 ◽  
Author(s):  
JIANGUO LU ◽  
JU WANG ◽  
SHENGRUI WANG
Keyword(s):  
Data Integration ◽  
Software Reuse ◽  
Edit Distance ◽  
Xml Schema ◽  
Schema Matching ◽  
Schema Evolution ◽  
Tree Edit Distance ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Unordered Trees

XML Schema matching problem can be formulated as follows: given two XML Schemas, find the best mapping between the elements and attributes of the schemas, and the overall similarity between them. XML Schema matching is an important problem in data integration, schema evolution, and software reuse. This paper describes a matching system that can find accurate matches and scales to large XML Schemas with hundreds of nodes. In our system, XML Schemas are modeled as labeled and unordered trees, and the schema matching problem is turned into a tree matching problem. We proposed Approximate Common Structures in trees, and developed a tree matching algorithm based on this concept. Compared with the traditional tree edit-distance algorithm and other schema matching systems, our algorithm is faster and more suitable for large XML Schema matching.

THE VALUE OF DATA INTEGRATION IN A COMPLEX WELL SCENARIO: A CASE STUDY FROM THE WEST NETHERLANDS

2020 ◽  
Author(s):  
Abhinandan Kohli ◽  
◽  
Emile Fokkema ◽  
Oscar Kelder ◽  
Zulkifli Ahmad ◽  
...  
Keyword(s):  
Data Integration ◽  
The West ◽  
Complex Well

Using the QBox platform to assess quality in data integration systems

2010 ◽  
Vol 15 (6) ◽  
pp. 105-124
Author(s):  
Fernando Lemos ◽  
Mohamed Reda Bouadjenek ◽  
Mokrane Bouzeghoub ◽  
Zoubida Kedad
Keyword(s):  
Data Integration ◽  
Assess Quality
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