Semantic integrity refers to the extent to which different aspects of a data record or other representation makes sense internally, This may refer to an individual field or unit in the data for example, if a record states that a schoolchild was born in 217, or the relationship between itesm, for example if the birth date of a historical person is recorded as after their death. During {data cleaning one can perform various semantic integrity checks on the original data, triggering further processing or human scrutiny. Semantic integrity checks can also be used after data processing steps to ensure they have worked correctly.
Used in Chap. 10: page 133