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Conceptual schema analysis: techniques and applications
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A Discovery-Based Approach to Database Ontology Design
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View Integration: A Step Forward in Solving Structural Conflicts
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A Methodology for Integration of Heterogeneous Databases
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Semantic Dictionary Design for Database Interoperability
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Semantic Integration in Heterogeneous Databases Using Neural Networks
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Object Fusion in Mediator Systems
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Managing Object Identity in Federated Database Systems
OOER '95 Proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling
An Experience of Integration of Conceptual Schemas in the Italian Public Administration
ER '97 Proceedings of the 16th International Conference on Conceptual Modeling
XClust: clustering XML schemas for effective integration
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An Information Integration Framework for E-Commerce
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Semantic Integration and Query Optimization of Heterogeneous Data Sources
OOIS '02 Proceedings of the Workshops on Advances in Object-Oriented Information Systems
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An Agent-Based Hierarchical Clustering Approach for E-commerce Environments
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A General Methodological Framework for the Development of Web-Based Information Systems
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On schema matching with opaque column names and data values
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Information preserving XML schema embedding
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An approach for identifying attribute correspondences in multilingual schemas
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Integration of XML schemas at various "severity" levels
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A composite approach to automating direct and indirect schema mappings
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An adaptive approach to schema classification for data warehouse modeling
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Instance-based schema matching for web databases by domain-specific query probing
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A novel method for measuring semantic similarity for XML schema matching
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Information preserving XML schema embedding
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LOM: a linguistic ontology matcher based on information retrieval
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GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Matching of ontologies with XML schemas using a generic metamodel
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MIKS: an agent framework supporting information access and integration
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Tuning the ensemble selection process of schema matchers
Information Systems
Contextual factors in database integration: a Delphi study
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Ontology and instance matching
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An approach for clustering semantically heterogeneous XML schemas
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Structured data clouding across multiple webs
Information Systems
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
BInXS: a process for integration of XML schemata
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Ontology knowledge spaces for semantic collaboration in networked enterprises
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A survey of schema-based matching approaches
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Matching ontologies in open networked systems: techniques and applications
Journal on Data Semantics V
Partition-Based block matching of large class hierarchies
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
A test platform for the INEX heterogeneous track
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Minimizing user effort in XML grammar matching
Information Sciences: an International Journal
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A hybrid ontology approach for integration of obsolescence information
Computers and Industrial Engineering
Schema matching prediction with applications to data source discovery and dynamic ensembling
The VLDB Journal — The International Journal on Very Large Data Bases
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The problem of defining global views of heterogeneous data sources to support querying and cooperation activities is becoming more and more important due to the availability of multiple data sources within complex organizations and in global information systems. Global views are defined to provide a unified representation of the information in the different sources by analyzing conceptual schemas associated with them and resolving possible semantic heterogeneity. In the paper, we propose an affinity-based unification method for global view construction. In the method: 1) The concept of affinity is introduced to assess the level of semantic relationship between elements in different schemas by taking into account semantic heterogeneity; 2) Schema elements are classified by affinity levels using clustering procedures so that their different representations can be analyzed for unification; 3) Global views are constructed starting from selected clusters by unifying representations of their elements. Experiences of applying the proposed unification method and the associated tool environment artemis on databases of the Italian Public Administration information systems are described.