Items which are truly boolean data, such as true/false or yes/no answers. For such data, it is important to devise the meanings (usually questions in subjective data) carefully, so that the only allowed results are in fact true or false.

Misuse: The TERM_MAPPING class should not be used as a replacement for naively modelled enumerated types such as male/female etc. Such values should be coded, and in any case the enumeration often has more than two values.

The relative match of the target term with respect to the mapped text item. Result meanings:

• '>': the mapping is to a broader term e.g. orginal text = arbovirus infection , target = viral infection
• '=': the mapping is to a (supposedly) equivalent to the original item
• '<': the mapping is to a narrower term. e.g. original text = diabetes , mapping = diabetes mellitus.
• '?': the kind of mapping is unknown.

The first three values are taken from the ISO standards 2788 ( Guide to Establishment and development of monolingual thesauri) and 5964 (Guide to Establishment and development of multilingual thesauri).

Purpose of the mapping e.g. 'automated data mining', 'billing', 'interoperability'.

The target term of the mapping.

Items which are truly boolean data, such as true/false or yes/no answers. For such data, it is important to devise the meanings (usually questions in subjective data) carefully, so that the only allowed results are in fact true or false.

Misuse: The TERM_MAPPING class should not be used as a replacement for naively modelled enumerated types such as male/female etc. Such values should be coded, and in any case the enumeration often has more than two values.

The relative match of the target term with respect to the mapped text item. Result meanings:

• '>': the mapping is to a broader term e.g. orginal text = arbovirus infection , target = viral infection
• '=': the mapping is to a (supposedly) equivalent to the original item
• '<': the mapping is to a narrower term. e.g. original text = diabetes , mapping = diabetes mellitus.
• '?': the kind of mapping is unknown.

The first three values are taken from the ISO standards 2788 ( Guide to Establishment and development of monolingual thesauri) and 5964 (Guide to Establishment and development of multilingual thesauri).

Purpose of the mapping e.g. 'automated data mining', 'billing', 'interoperability'.

The target term of the mapping.

Items which are truly boolean data, such as true/false or yes/no answers. For such data, it is important to devise the meanings (usually questions in subjective data) carefully, so that the only allowed results are in fact true or false.

Misuse: The TERM_MAPPING class should not be used as a replacement for naively modelled enumerated types such as male/female etc. Such values should be coded, and in any case the enumeration often has more than two values.

The relative match of the target term with respect to the mapped text item. Result meanings:

• '>': the mapping is to a broader term e.g. orginal text = arbovirus infection , target = viral infection
• '=': the mapping is to a (supposedly) equivalent to the original item
• '<': the mapping is to a narrower term. e.g. original text = diabetes , mapping = diabetes mellitus.
• '?': the kind of mapping is unknown.

The first three values are taken from the ISO standards 2788 ( Guide to Establishment and development of monolingual thesauri) and 5964 (Guide to Establishment and development of multilingual thesauri).

Purpose of the mapping e.g. 'automated data mining', 'billing', 'interoperability'.

The target term of the mapping.