Data quality concepts and techniques applied to taxonomic databases

Data Quality Concepts and Techniques Applied to Tax onomic Databases by Eduardo Couto Dalcin The thesis investigates the application of concepts and techniques of data quality in taxonomic databases to enhance the quality of infor mation services and systems in taxonomy. Taxonomic data are arranged and introduce d in Taxonomic Data Domains in order to establish a standard and a working framewo rk to support the proposed Taxonomic Data Quality Dimensions, as a specialised application of conventional Data Quality Dimensions in the Taxonomic Data Quality Do mains. The thesis presents a discussion about improving da ta quality in taxonomic databases, considering conventional Data Cleansing techniques and applying generic data content error patterns to taxonomic data. Techniques of tax onomic error detection are explored, with special attention to scientific name spelling errors. The spelling error problem is scrutinized through s pelling error detecting techniques and algorithms. Spelling error detection algorithms are described and analysed. In order to evaluate the applicability and efficiency of differ ent spelling error detection algorithms,

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