A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Learning object identification rules for information integration
Information Systems - Data extraction, cleaning and reconciliation
Modern Information Retrieval
Automating the Construction of Internet Portals with Machine Learning
Information Retrieval
Machine Learning
The DBLP Computer Science Bibliography: Evolution, Research Issues, Perspectives
SPIRE 2002 Proceedings of the 9th International Symposium on String Processing and Information Retrieval
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
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
Robust and efficient fuzzy match for online data cleaning
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Finding similar identities among objects from multiple web sources
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Adaptive duplicate detection using learnable string similarity measures
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
ACM Transactions on Information Systems (TOIS)
Measuring similarity between collection of values
Proceedings of the 6th annual ACM international workshop on Web information and data management
Introduction to the special issue on semantic integration
ACM SIGMOD Record
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Replica identification using genetic programming
Proceedings of the 2008 ACM symposium on Applied computing
A strategy for allowing meaningful and comparable scores in approximate matching
Information Systems
Estimating recall and precision for vague queries in databases
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Building a research social network from an individual perspective
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
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Digital libraries of scientific articles contain collections of digital objects that are usually described by bibliographic metadata records. These records can be acquired from different sources and be represented using several metadata standards. These metadata standards may be heterogeneous in both, content and structure. All of this implies that many records may be duplicated in the repository, thus affecting the quality of services, such as searching and browsing. In this article we present an approach that identifies duplicated bibliographic metadata records in an efficient and effective way. We propose similarity functions especially designed for the digital library domain and experimentally evaluate them. Our results show that the proposed functions improve the quality of metadata deduplication up to 188% compared to four different baselines. We also show that our approach achieves statistical equivalent results when compared to a state-of-the-art method for replica identification based on genetic programming, without the burden and cost of any training process.