An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
eTuner: tuning schema matching software using synthetic scenarios
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology Matching
Matching large schemas: Approaches and evaluation
Information Systems
Towards design patterns for ontology alignment
Proceedings of the 2008 ACM symposium on Applied computing
Ten Challenges for Ontology Matching
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
| Hi-index | 0.00 |
Semantic alignment between ontologies is a crucial task for information integration. There are many ongoing efforts to develop matching systems implementing various alignment techniques but it is impossible to predict what strategy is most successful for an application domain or a given pair of ontologies. Very often the quality of the results could be improved by considering the specificities of the ontologies to be aligned. In this paper, we propose a pattern-based approach implemented in the TaxoMap Framework helping an engineer to refine mappings to take into account specific conventions used in ontologies. Experiments in the topographic field within the ANR (The French National Research Agency) project GéOnto show the usefulness of such an environment both for a domain expert and an engineer, especially when the number of mappings is very large.