Similarity function recommender service using incremental user knowledge acquisition
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Making sense of top-k matchings: a unified match graph for schema matching
Proceedings of the Ninth International Workshop on Information Integration on the Web
RUBIX: a framework for improving data integration with linked data
Proceedings of the First International Workshop on Open Data
Query matching for report recommendation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Schema matching prediction with applications to data source discovery and dynamic ensembling
The VLDB Journal — The International Journal on Very Large Data Bases
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We present the Auto Mapping Core (AMC), a new framework that supports fast construction and tuning of schema matching approaches for specific domains such as ontology alignment, model matching or database-schema matching. Distinctive features of our framework are new visualisation techniques for modelling matching processes, stepwise tuning of parameters, intermediate result analysis and performance-oriented rewrites. Furthermore, existing matchers can be plugged into the framework to comparatively evaluate them in a common environment. This allows deeper analysis of behaviour and shortcomings in existing complex matching systems.