Termset is the Python data structure equivalent of termset graphs which are logical components of the GOLD Community Model. Put simply, they contain term-concept mappings, e.g., “PST”–gold:PastTense. A termset contains a set of scientific ‘terms’ used as part of an annotation system, usually the standard terms from a particular linguistic theory or community of practice. A term is a specific string representing a concept within some scientific domain. Terms may have a standard orthographic representation such as “past tense” or an abbreviation such as “PST”.
Termset is the class representing a termset.
Given some abbreviation, e.g., ‘PST’, or full form, e.g., ‘past tense’, return the GOLD URI indicated by that string.
| Parameter: | term_string (string) – the string representation (abbreviation or full form) of the term |
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| Returns: | the URI of the GOLD concept represented by the string |
| Return type: | rdflib.URIRef.URIRef |