Efficient Transitive Closure Algorithms
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
The Chimaera Ontology Environment
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
MoA: OWL ontology merging and alignment tool for the semantic web
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
The design and implementation of VAMPIRE
AI Communications - CASC
SAMBO-A system for aligning and merging biomedical ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Reasoning about taxonomies and articulations
Ph.D. '08 Proceedings of the 2008 EDBT Ph.D. workshop
A complete classification of tractability in RCC-5
Journal of Artificial Intelligence Research
FCA-MERGE: bottom-up merging of ontologies
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Towards automatic merging of domain ontologies: The HCONE-merge approach
Web Semantics: Science, Services and Agents on the World Wide Web
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
Taxonomy alignment for interoperability between heterogeneous digital libraries
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Merging Sets of Taxonomically Organized Data Using Concept Mappings under Uncertainty
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part II
A syntactical approach to qualitative constraint networks merging
LPAR'10 Proceedings of the 17th international conference on Logic for programming, artificial intelligence, and reasoning
Target-driven merging of taxonomies with Atom
Information Systems
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Taxonomies are widely used to classify information, and multiple (possibly competing) taxonomies often exist for the same domain. Given a set of correspondences between two taxonomies, it is often necessary to "merge" the taxonomies, thereby creating a unified taxonomy (e.g., that can then be used by data integration and discovery applications). We present an algorithm for merging taxonomies that have been related using articulations given as RCC-5 constraints. Two taxa N and M can be related using (disjunctions of) the five base relations in RCC-5: N a M; N -- M; N -- M; N -- M (partial overlap of N and M); and N ! M (disjointness: N ) M = Ø). RCC-5 is increasingly being adopted by scientists to specify mappings between large species taxonomies. We discuss the properties of the proposed merge algorithm and evaluate our approach using real-world biological taxonomies.