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Terminology registries for knowledge organization systems: Functionality, use, and attributes
Author(s) -
Golub Koraljka,
Tudhope Douglas,
Zeng Marcia Lei,
Žumer Maja
Publication year - 2014
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23090
Subject(s) - metadata , terminology , computer science , interoperability , information retrieval , knowledge organization , relation (database) , set (abstract data type) , domain (mathematical analysis) , controlled vocabulary , world wide web , digital library , resource (disambiguation) , matching (statistics) , metadata repository , database , art , mathematical analysis , mathematics , poetry , literature , programming language , statistics , philosophy , linguistics , computer network
Terminology registries ( TRs ) are a crucial element of the infrastructure required for resource discovery services, digital libraries, L inked D ata, and semantic interoperability generally. They can make the content of knowledge organization systems ( KOS ) available both for human and machine access. The paper describes the attributes and functionality for a TR , based on a review of published literature, existing TRs , and a survey of experts. A domain model based on user tasks is constructed and a set of core metadata elements for use in TRs is proposed. Ideally, the TR should allow searching as well as browsing for a KOS , matching a user's search while also providing information about existing terminology services, accessible to both humans and machines. The issues surrounding metadata for KOS are also discussed, together with the rationale for different aspects and the importance of a core set of KOS metadata for future machine‐based access; a possible core set of metadata elements is proposed. This is dealt with in terms of practical experience and in relation to the D ublin C ore A pplication P rofile.