A philosophical basis for knowledge acquisition
Knowledge Acquisition
IntelliClean: a knowledge-based intelligent data cleaner
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Information Sciences: an International Journal
Real-world Data is Dirty: Data Cleansing and The Merge/Purge Problem
Data Mining and Knowledge Discovery
Interactive deduplication using active learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning domain-independent string transformation weights for high accuracy object identification
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Adaptive Name Matching in Information Integration
IEEE Intelligent Systems
Data delivery in a service-oriented world: the BEA aquaLogic data services platform
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
A Comparison of Personal Name Matching: Techniques and Practical Issues
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Eliminating fuzzy duplicates in data warehouses
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
People search: Searching people sharing similar interests from the Web
Journal of the American Society for Information Science and Technology
Astoria: A Programming Model for Data on the Web
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
An Incremental Knowledge Acquisition Method for Improving Duplicate Invoices Detection
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Experience with long-term knowledge acquisition
Proceedings of the sixth international conference on Knowledge capture
AMC - A framework for modelling and comparing matching systems as matching processes
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Integrating feature analysis and background knowledge to recommend similarity functions
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
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Similar entity search is the task of identifying entities that most closely resemble a given entity (e.g., a person, a document, or an image). Although many techniques for estimating similarity have been proposed in the past, little work has been done on the question of which of the presented techniques are most suitable for a given similarity analysis task. Knowing the right similarity function is important as the task is highly domain- and data-dependent. In this paper, we propose a recommender service that suggests which similarity functions (e.g., edit distance or jaccard similarity) should be used for measuring the similarity between two entities. We introduce the notion of “similarity function recommendation rule” that captures user knowledge about similarity functions and their usage contexts. We also present an incremental knowledge acquisition technique for building and maintaining a set of similarity function recommendation rules.