Metadata
Metadata structure standards used by the Authorities and Vocabularies service include:
- Metadata Authority Description Schema in RDF (MADS/RDF)
-
Simple Knowledge Organization System (SKOS)
-
Web Ontology Language (OWL)
-
Resource Description Framework (RDF)
-
RDF Schema (RDFS)
-
Dublin Core Metadata Initiative Metadata Terms
-
SemWeb Vocab Status ontology
When the Authorities and Vocabularies service was first launched in 2009, the data model used by the Authorities and Vocabularies service was influenced entirely by SKOS. As a result, most of the metadata associated with our offerings are disseminated using properties and classes from SKOS.
In 2010, LC developed MADS/RDF, which is a more specifically defined data model to represent the complexities of authority, vocabulary, and thesauri data than possible with SKOS alone.
MADS and MADS/RDF
The Metadata Authority Description Schema (MADS) is an XML schema for an element set that may be used to provide metadata about authorized forms of agents (people, organizations), events, and terms (topics, geographics, genres, etc.). The terms may be part of thesauri, taxonomies, subject heading systems, or other controlled value lists. MADS serves as a companion to the Metadata Object Description Schema (MODS) to provide metadata about the authoritative entities used in MODS descriptions.
MADS/RDF builds on MADS/XML as a knowledge organization system. It is closely related to SKOS, the Simple Knowledge Organization System and a widely supported and adopted RDF vocabulary. Given the close relationship between the aim of MADS/RDF and the aim of SKOS, the MADS ontology has been fully mapped to SKOS.
Unlike SKOS, however, which is very broad in its application, MADS/RDF is designed specifically to support authority data as used by and needed in the LIS community and its technology systems. For example, MADS/RDF provides a means to record data from the Machine Readable Cataloging (MARC 21) Authorities format in RDF for use in semantic applications and Linked Data projects. MADS/RDF allows for more precise identification of parts of terms and better interoperability with LIS data.
Learn more about SKOS and RDF
Start with the SKOS Primer
, and then have a look at the SKOS Reference
. These contain a good overview of the basics of RDF, as well.
Additionally, have a look at this DevX article
, which describes the application of SKOS ConceptSchemes, Concepts, and Collections.
Who else uses SKOS?
As part of the TELplus
project, Antoine Isaac
offers a service
that uses SKOS to provide RAMEAU
subject headings as Linked Data
. In fact, in the spirit of Linked Data, this TELplus project and the Authorities and Vocabularies service link in kind between
concepts that possess a semantic relation. This is made possible thanks to 60,000 mappings manually provided by the MACS
project.
OCLC is building tools with SKOS, and the United States National Agriculture Library
has released its thesaurus in SKOS. The National Science Digital Library Registry
also uses SKOS as a primary metadata model.
The United Nations Food and Agriculture Organization
uses SKOS
within its GeoNetwork
application.
Why SKOS?
SKOS is quickly becoming a prevalent standards-based tool for representing thesaurus data, as witnessed by the user list above. Using SKOS instead of creating a custom XML Schema approach minimizes reinvention of the wheel. Implementing custom XML Schemata often requires new, custom tools to be created by each user, whereas SKOS and RDF have numerous tools to make instant use of the data.
Furthermore, the notion of dereferenceable, REST
ful URIs is a strength of the Semantic Web and Linked Data community approach to data -- one which is attractive enough for us to
leverage. It is not necessarily an approach that the Semantic Web community invented, nor is it something that XML is devoid of, comparatively speaking. However, centering services or content
negotiation around a reusable or multi-purposed URI has not been a common design principle in most XML applications.
Lastly, the ability to see our data tied into the Linked Data world is attractive. Linked Data is heavily driven by Semantic Web and RDF technologies. This offers an exciting opportunity to bring our standards offerings to a new user community.
