#20897
Controlled Vocabularies: A Glosso-Thesaurus 
'There is a singular lack of vocabulary control in the field of controlled vocabularies,' Bella Hass Weinberg, professor of library science at St. John's University in New York, is fond of saying. To help you cut through the maze of verbiage often found in this field, we have created a glossary of terms.
Fast, Karl, Fred Leise and Mike Steckel. Boxes and Arrows (2003). Articles>Information Design>Metadata>Controlled Vocabulary
#22394
Data Collection for Controlled Vocabulary Interoperability: Dublin Core Audience Element
This paper outlines the assumptions, process and results of a pilot study of issues of interoperability among a set of seven existing controlled vocabulary schemes that make statements about the audience of an educational resource.
Tennis, Joseph T. ASIST (2002). Articles>Information Design>Metadata>Controlled Vocabulary
#32234
What Is A Controlled Vocabulary?
A controlled vocabulary is a way to insert an interpretive layer of semantics between the term entered by the user and the underlying database to better represent the original intention of the terms of the user.
Leise, Fred, Karl Fast and Mike Steckel. Boxes and Arrows (2002). Articles>Information Design>Metadata>Controlled Vocabulary
#33025
Folksonomies Plus Controlled Vocabularies
We need a word for the class of comparisons that assumes that the status quo is cost-free, so that all new work, when it can be shown to have disadvantages to the status quo, is also assumed to be inferior to the status quo.
Shirky, Clay. Corante (2005). Articles>Information Design>Metadata>Controlled Vocabulary
#33189
Converting a Controlled Vocabulary Into an Ontology: The Case of GEM 
The prevalance of digital information raised issues regarding the suitability of conventional library tools for organizing information. The multi-dimensionality of digital resources requires a more versatile and flexible representation to accommodate intelligent information representation and retrieval. Ontologies are used as a solution to such issues in many application domains, mainly due to their ability explicitly to specify the semantics and relations and to express them in a computer understandable language. Conventional knowledge organization tools such as classifications and thesauri resemble ontologies in a way that they define concepts and relationships in a systematic manner, but they are less expressive than ontologies when it comes to machine language. This paper used the controlled vocabulary at the Gateway to Educational Materials (GEM) as an example to address the issues in representing digital resources. The theoretical and methodological framework in this paper serves as the rationale and guideline for converting the GEM controlled vocabulary into an ontology. Compared to the original semantic model of GEM controlled vocabulary, the major difference between the two models lies in the values added through deeper semantics in describing digital objects, both conceptually and relationally.
Qin, Jian and Stephen Paling. Information Research (2001). Articles>Information Design>Metadata>Controlled Vocabulary
