Proceedings of the third annual conference on Autonomous Agents
Learning object identification rules for information integration
Information Systems - Data extraction, cleaning and reconciliation
Learning to match and cluster large high-dimensional data sets for data integration
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Reference reconciliation in complex information spaces
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Object Identification with Constraints
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Ontology Matching
Refining Instance Coreferencing Results Using Belief Propagation
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
A declarative framework for semantic link discovery over relational data
Proceedings of the 18th international conference on World wide web
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
IEEE Transactions on Knowledge and Data Engineering
Ontology matching with semantic verification
Web Semantics: Science, Services and Agents on the World Wide Web
Frameworks for entity matching: A comparison
Data & Knowledge Engineering
Mapping validation by probabilistic reasoning
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Feature-based entity matching: the FBEM model, implementation, evaluation
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Benchmarking matching applications on the semantic Web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Semantic Web
Data Linking for the Semantic Web
International Journal on Semantic Web & Information Systems
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Nowadays, the availability of large collections of data requires techniques and tools capable of linking data together, by retrieving potentially useful relations among them and helping in associating together data representing the same or similar real objects. One of the main problems in developing data linking techniques and tools is to understand the quality of the results produced by the matching process. In this paper, we describe the experience of instance matching and data linking evaluation in the context of the Ontology Alignment Evaluation Initiative (IM@OAEI). Our goal is to be able to validate different proposed methods, identify most promising techniques and directions for improvement, and, subsequently, guide further research in the area as well as development of robust tools for real-world tasks.