A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Discovering Direct and Indirect Matches for Schema Elements
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Learning to map between structured representations of data
Learning to map between structured representations of data
IEEE Transactions on Knowledge and Data Engineering
An interactive clustering-based approach to integrating source query interfaces on the deep Web
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Understanding Web query interfaces: best-effort parsing with hidden syntax
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Ontologies: How can They be Built?
Knowledge and Information Systems
Automatic integration of Web search interfaces with WISE-Integrator
The VLDB Journal — The International Journal on Very Large Data Bases
Structured databases on the web: observations and implications
ACM SIGMOD Record
Schema and ontology matching with COMA++
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
Data integration: the teenage years
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Ontology Matching
Quickmig: automatic schema matching for data migration projects
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
DynaSpot: speed-dependent area cursor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Topology-aware navigation in large networks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extracting Web Query Interfaces Based on Form Structures and Semantic Similarity
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
A call for personal semantic data integration
ICDEW '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering Workshop
Learning domain ontologies for semantic Web service descriptions
Web Semantics: Science, Services and Agents on the World Wide Web
Constructing interface schemas for search interfaces of web databases
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Holistic schema matching for web query interfaces
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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With the tremendous growth in (semi-)structured information, in particular, the databases behind the deep Web, customized integration of data sources is highly desirable to accommodate various user needs. To build and maintain a potentially large number of customized integration systems (called meta-queriers), the first important step is to discover the mappings among their query forms for enabling interoperability between themeta-queriers and user-selected data sources. This paper proposes a reuse-oriented solution to mapping discovery by exploiting existing mappings. For facilitating mapping reuse, ontology-based and changedoriented models are introduced to abstract mappings respectively from the mapping peers (the mappings in the same domain) and the mapping evolution (the mappings from the previous versions). A human-friendly validation strategy is proposed in the pursuit of wide and active participation of non-technical volunteers. Our experimental results on real-world data sets confirm the feasibility and effectiveness of this solution.