A great deal of research is focused on formation of a data warehouse. This is an important area of research as it could save many computation cycles and thus allow accurate information provided to the right people at the right time. Two considerations when forming a data warehouse are data cleansing (including entity resolution) and with schema integration (including record linkage). Uncleansed and fragmented data requires time to decipher and may lead to increased costs for an organization, so data cleansing and schema integration can save a great many (human) computation cycles and can lead to higher organizational efficiency. In this study we survey the literature for the methodologies proposed or developed for entity resolution and record linkage. This survey provides a foundation for solving many problems in data warehousing. For instance, little or no research has been directed at the problem of maintenance of cleansed and linked relations.
Brizan, David Guy and Tansel, Abdullah Uz
"A. Survey of Entity Resolution and Record Linkage Methodologies,"
Communications of the IIMA: Vol. 6
, Article 5.
Available at: https://scholarworks.lib.csusb.edu/ciima/vol6/iss3/5