International Journal of Man-Machine Studies
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Principles of object-oriented analysis and design
Principles of object-oriented analysis and design
A product perspective on total data quality management
Communications of the ACM
Quality information and knowledge
Quality information and knowledge
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Journey to Data Quality
Entity Resolution and Information Quality
Entity Resolution and Information Quality
A Graduate-Level Course on Entity Resolution and Information Quality: A Step toward ER Education
Journal of Data and Information Quality (JDIQ) - Special Issue on Entity Resolution
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This paper describes ongoing research to develop a comprehensive, formal framework for modeling and analyzing information products derived through multi-source, entity-based integration. It describes how a previously proposed framework for defining integration selection operators can be extended to model data enhancement products, and suggests a methodology for evaluating such products based on four key factors - entities, attributes, utility, and cost. Even though many organizations make substantial investments in developing and maintaining entity-based enhancement products, little work has been done to develop evaluation models that accurately assess the impact of adding, dropping, or replacing sources in an effort to optimize the quality and economic performance of the product.