On resolving schematic heterogeneity in multidatabase systems
Modern database systems
The Dynamics of Nonlinear Relaxation Labeling Processes
Journal of Mathematical Imaging and Vision
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
CPI: constraints-preserving inlining algorithm for mapping XML DTD to relational schema
Data & Knowledge Engineering - ER2000
A semantic network-based design methodology for XML documents
ACM Transactions on Information Systems (TOIS)
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Adding Flexibility to Structure Similarity Queries on XML Data
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Computing approximate tree edit distance using relaxation labeling
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Complex relationships and knowledge discovery support in the InfoQuilt system
The VLDB Journal — The International Journal on Very Large Data Bases
Query relaxation for xml model
Query relaxation for xml model
Distance and similarity measures for fuzzy operators
Information Sciences: an International Journal
Journal of Biomedical Informatics
XTREAM: An efficient multi-query evaluation on streaming XML data
Information Sciences: an International Journal
Modeling and manipulating the structure of hierarchical schemas for the web
Information Sciences: an International Journal
Information Sciences: an International Journal
Computing structural similarity of source XML schemas against domain XML schema
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
An Adaptation Approach: Query Enrichment by User Profile
Advanced Internet Based Systems and Applications
SAIL: Structure-aware indexing for effective and progressive top-k keyword search over XML documents
Information Sciences: an International Journal
Extensible User-Based XML Grammar Matching
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
Structural and semantic aspects of similarity of Document Type Definitions and XML schemas
Information Sciences: an International Journal
An approach for measuring similarity between XML documents
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Element similarity measures in XML schema matching
Information Sciences: an International Journal
A semantic matching of information segments for tolerating error chinese words
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Unauthorized inferences in semistructured databases
Information Sciences: an International Journal
Minimizing user effort in XML grammar matching
Information Sciences: an International Journal
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Information integration for distributed and heterogeneous data sources is still an open challenging, and schema matching is critical in this process. This paper presents an approach to automatic elements matching between XML application schemas using similarity measure and relaxation labeling. The semantic modeling of XML application schema has also been presented. The similarity measure method considers element categories and their properties. In an effort to achieve an optimal matching, contextual constraints are used in the relaxation labeling method. Based on the semantic modeling of XML application schemas, the compatible constraint coefficients are devised in terms of the structures and semantic relationships as defined in the semantic model. To examine the effectiveness of the proposed methods, an algorithm for XML schema matching has been developed, and corresponding computational experiments show that the proposed approach has a high degree of accuracy.