Object Matching for Information Integration: A Profiler-Based Approach.

AnHai Doan · Ying Lu · Yoonkyong Lee · Jiawei Han

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Data Quality and Management Advanced Database Systems and Queries Semantic Web and Ontologies

Abstract

Object matching is a fundamental problem that arises in numerous information integration scenarios. Virtually all existing solutions to this problem have assumed that the objects to be matched share the same set of attributes, and that they can be matched by comparing the similarities of the attributes.

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1995The merge/purge problem for large databases 2002Interactive deduplication using active learning 2001Potter's Wheel: An Interactive Data Cleaning System 1996The field matching problem: Algorithms and applications 2002Eliminating Fuzzy Duplicates in Data Warehouses 1998Integration of heterogeneous databases without common domains using queries based on textual similarity 1999Autonomous citation matching 2005An extensible Framework for Data Cleaning

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2006XML Duplicate Detection Using Sorted Neighborhoods 2012On Generating Benchmark Data for Entity Matching 2010Behavior based record linkage

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