Terminology Database

AKA: Terminological Resource, Technical Term Inventory.
Context:
- It can be created by a Terminology Creation Task.
- It can be populated by a Terminology Extraction Task.
- It can be managed by a Terminology Management Task.
- It can be associated to a Domain/Subject Area.
- It can represent a Terminological Unit Set, such as a technical terminology.
- It can be a part of a Terminological Database.
- It can range from being a Single-Language Terminology Database to being a Multi-Language Terminology Database.
Example(s):
- a Word Sense Inventory that is restricted to Technical Terms.
- a BioLexicon.
- a Thesaurus.
- a Glossary, such as a Statistics glossary.
- a Terminology Dictionary, such as a Statistics dictionary.
- a Lexicalized Knowledge Base, such as Lexicalized ontology (e.g. GO ontology).
- a Controlled Vocabulary.
- …
Counter-Example(s):
- WordNet Database, a Lexical Database focused on Common Words.
See: Technical Term Normalization Task, Terminological Unit, Lexicon, GM-RKB, Domain-Specific Ontology.

References

(Dextre Clarke et al., 2008) ⇒ Stella Dextre Clarke, Alan Gilchrist, Ron Davies and Leonard Will. (2008). “Glossary of Terms Relating to Thesauri and Other Forms of Structured Vocabulary for Information Retrieval." Willpower Information
- glossary a list of terms, together with definitions, specific to a given field of knowledge, usually presented in alphabetical order. Such terms are usually of a technical, abstruse or archaic nature....

(Jacquemin, 2001) ⇒ Christian Jacquemin. (2001). “Spotting and Discovering Terms Through Natural Language Processing." MIT Press. ISBN:0262100851
- Term recycling: Terminological data are lexical database that can be used to build electronic dictionaries for the purpose of natural language processing. Term recycling is the transformation and the exploitation of such a term base in natural language processing.