C4.5: programs for machine learning
C4.5: programs for machine learning
WordNet: a lexical database for English
Communications of the ACM
Conceptual schema analysis: techniques and applications
ACM Transactions on Database Systems (TODS)
Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Conceptual-model-based data extraction from multiple-record Web pages
Data & Knowledge Engineering
Data & Knowledge Engineering
The Clio project: managing heterogeneity
ACM SIGMOD Record
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Object Database Development: Concepts and Principles
Object Database Development: Concepts and Principles
Modern Information Retrieval
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
Using Schema Matching to Simplify Heterogeneous Data Translation
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Database Schema Matching Using Machine Learning with Feature Selection
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
On schema matching with opaque column names and data values
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Why Table Ground-Truthing is Hard
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
iMAP: discovering complex semantic matches between database schemas
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Rank Aggregation for Automatic Schema Matching
IEEE Transactions on Knowledge and Data Engineering
Managing Uncertainty in Schema Matcher Ensembles
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
Categorisation of web documents using extraction ontologies
International Journal of Metadata, Semantics and Ontologies
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
An ORM-Driven Implementation Framework for Database Federations
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Feedback-based annotation, selection and refinement of schema mappings for dataspaces
Proceedings of the 13th International Conference on Extending Database Technology
Reconciling semantic conflicts in electronic patient data exchange
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
Tuning the ensemble selection process of schema matchers
Information Systems
KBB: a knowledge-bundle builder for research studies
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
Real-time integration of geo-data in ORM
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Enabling search for facts and implied facts in historical documents
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
Multilingual ontologies for cross-language information extraction and semantic search
ER'11 Proceedings of the 30th international conference on Conceptual modeling
ER'11 Proceedings of the 30th international conference on Advances in conceptual modeling: recent developments and new directions
Combining declarative and procedural knowledge to automate and represent ontology mapping
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
Challenges and conflicts integrating heterogeneous data warehouses in virtual organisations
International Journal of Networking and Virtual Organisations
Pay-as-You-Go ranking of schema mappings using query logs
DILS'12 Proceedings of the 8th international conference on Data Integration in the Life Sciences
Matching Attributes across Overlapping Heterogeneous Data Sources Using Mutual Information
Journal of Database Management
Incrementally improving dataspaces based on user feedback
Information Systems
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Automating schema mapping is challenging. Previous approaches to automating schema mapping focus mainly on computing direct matches between two schemas. Schemas, however, rarely match directly. Thus, to complete the task of schema mapping, we must also compute indirect matches. In this paper, we present a composite approach for generating a source-to-target mapping that contains both direct and many indirect matches between a source schema and a target schema. Recognizing expected-data values associated with schema elements and applying schema-structure heuristics are the key ideas needed to compute indirect matches. Experiments we have conducted over several real-world application domains show encouraging results, yielding about 90% precision and recall measures for both direct and indirect matches.