Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Active learning with multiple views
Active learning with multiple views
Combining Uncertain Outputs from Multiple Ontology Matchers
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
A concept hierarchy based ontology mapping approach
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A structure-based similarity spreading approach for ontology matching
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
| Hi-index | 0.00 |
Ontology mapping is the task of finding semantic relationships between entities (i.e. concept, attribute and relation) of two ontologies. In the existing literatures, many (semi-)automatic approaches have found considerable interest by combining several mapping strategies (namely multi-strategy mapping). However, experiments show that multi-strategy based mapping does not always outperform its single-strategy counterpart. We here mainly consider the following questions: For a new, unseen mapping task, should one use a multi-strategy or a single-strategy? And if the task is suitable for multi-strategy, then which strategies should be selected in the combined scenario? This paper proposes an approach of multiple strategies detection for ontology mapping. The results obtained so far show that multi-strategy detection improves both on precision and recall significantly.