A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Semantic integration of heterogeneous information sources
Data & Knowledge Engineering - Special issue on heterogeneous information resources need semantic access
PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Ontology Matching
Merging models based on given correspondences
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Schema merging and mapping creation for relational sources
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Interactive generation of integrated schemas
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Bootstrapping pay-as-you-go data integration systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
PORSCHE: Performance ORiented SCHEma mediation
Information Systems
Merging taxonomies under RCC-5 algebraic articulations
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
Top-k generation of integrated schemas based on directed and weighted correspondences
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Associativity and Commutativity in Generic Merge
Conceptual Modeling: Foundations and Applications
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
On the discovery of subsumption relations for the alignment of ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Towards automatic merging of domain ontologies: The HCONE-merge approach
Web Semantics: Science, Services and Agents on the World Wide Web
Automatic schema merging using mapping constraints among incomplete sources
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Measuring the quality of an integrated schema
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Schema Matching and Mapping
ATOM: Automatic target-driven ontology merging
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
MICAI '11 Proceedings of the 2011 10th Mexican International Conference on Artificial Intelligence
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The proliferation of ontologies and taxonomies in many domains increasingly demands the integration of multiple such ontologies. We propose a new taxonomy merging algorithm called Atom that, given as input two taxonomies and a match mapping between them, can generate an integrated taxonomy in a largely automatic manner. The approach is target-driven, i.e. we merge a source taxonomy into the target taxonomy and preserve the target ontology as much as possible. In contrast to previous approaches, Atom does not aim at fully preserving all input concepts and relationships but strives to reduce the semantic heterogeneity of the merge results for improved understandability. Atom can also exploit advanced match mappings containing is-a relationships in addition to equivalence relationships between concepts of the input taxonomies. We evaluate Atom for synthetic and real-world scenarios and compare it with a full merge solution.