Vocabulary Policy
Introduction
This document describes the policies for both external and internal vocabularies adopted by LINCS, and the responsibilities associated with vocabulary use and development. All LINCS datasets must adhere to these policies when selecting and using vocabularies to describe their entities.
The policies outlined in this document are intended to ensure that vocabularies used in LINCS datasets are well-structured, interoperable, and maintainable, while also meeting the semantic specificity required by each dataset.
This document sets out what LINCS requires. The Vocabulary Documentation provides practical guidance on how to meet those requirements: finding and choosing vocabularies, applying their terms during conversion, and exploring what is already in use.
Vocabularies
Generally speaking, a vocabulary is a set or collection of terms. Vocabulary is a generic term to refer to a set of concepts that could be concretely described in an ontology, taxonomy, or thesaurus. LINCS employs a specific definition of vocabulary and provides a set of policies for the adoption and development of vocabularies within the project.
First of all, LINCS adopts the CIDOC Conceptual Reference Model (CRM) as its upper-level ontology, providing classes and properties to model the data. While the CIDOC CRM provides a high-level classification of entity types such as Person, Place, or Information Object, it does not provide enough semantic specificity to describe each entity in detail.
For example, the CIDOC CRM class E22 Human-Made Object represents any physical object made by humans, but there is no way to distinguish a painting from a chair. By adopting terms from external vocabularies, LINCS datasets can specify the type of each individual object. This allows for much more detailed classification and enables a richer semantic description.
The example above shows how the artwork Hommage à Alanis Obomsawin by Atikamekw artist Meky Ottawa is classified in the MONA Public Art dataset. The artwork is modelled as an instance of CIDOC CRM class E22 Human-Made Object, but its type is further specified by using the terms mural painting and public art from the Getty Art & Architecture Thesaurus.
Definition of Vocabulary in LINCS
LINCS defines vocabulary by how terms are used rather than by how they are built. Any term that is declared to be a type, or that is directly used to type another entity in LINCS data, counts as a vocabulary term, and whatever supplied that term counts as a vocabulary. This holds regardless of the vocabulary's internal structure or the technology used to publish it.
The definition is deliberately broad, so that the policies below apply equally to a formal thesaurus, to a general-purpose knowledge base used as a source of types, and to a vocabulary created within LINCS.
For a more technical definition, expressed as the specific RDF statements that identify a vocabulary term for the purposes of LINCS, see What Counts as a Vocabulary in the Vocabulary Documentation.
Examples of Vocabularies
Vocabularies come in many different forms, and as stated above, LINCS adopts a very broad definition based on usage. Any collection of terms that is utilized as a vocabulary is considered to be a vocabulary.
A Proper Controlled Vocabulary: Getty AAT
For example, the University of Saskatchewan Art Collection (USask Art) dataset describes over 6,000 instances of artworks. All these artworks are classified as instances of the CIDOC CRM class E22 Human-Made Object, but this is not sufficient to distinguish, for example, a photograph from a painting. By applying terms from the Getty Art & Architecture Thesaurus, the dataset can refine the classification by typing specific artworks as photographs or paintings.
A Knowledge Base Used as a Vocabulary: Wikidata
As another example, the Yellow Nineties dataset introduces specificity to the CRM class E74 Group by way of the Wikidata terms membership organization or publisher. Wikidata itself is a general-purpose knowledge base and was not designed as a controlled vocabulary, but given that it contains extensive type hierarchies, it can be used as such. Wikidata provides a large number of terms that can be used to type entities in LINCS datasets, and its terms are widely reused by the Linked Open Data community.
LINCS-hosted Vocabularies
In some cases, new vocabularies have been created and hosted within LINCS to provide domain-specific terms not readily available in other external vocabularies. These vocabularies are made accessible and documented through the LINCS Vocabulary Browser.
For example, most LINCS datasets make use of terms from the LINCS Biography vocabulary to describe personal names. In the figure below, the name Abishabis from the Historical Canadians dataset is typed as a personal name using the term biography:personalName.
As another example, three projects with datasets pertaining to early modern London (ARK, MoEML, and REED London) created their own vocabulary of early modern place types to ensure their data was typed using temporally and spatially specific definitions that could not be found in existing vocabularies, such as Bailiwick and Hall. This work resulted in the Early Modern London Place Type Vocabulary.
General Vocabulary Policies
The following policies apply to all LINCS vocabularies, whether external or hosted by LINCS itself.
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All LINCS datasets must link their entity types to existing vocabularies wherever possible.
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When selecting a vocabulary, interoperability should be maximized by attempting to reuse vocabularies adopted in previous LINCS datasets as much as possible. For recommendations about which vocabularies to adopt based on current usage in LINCS datasets, see the Recommended Vocabularies section below.
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While the use of external vocabulary terms should be prioritized, interoperability should not come at the expense of the semantic specificity required by the dataset. For example, if a dataset requires the representation of the type
public artwork, a vocabulary providing only the termartworkwould not be sufficient, and efforts should be made to find a more suitable vocabulary or to add terms to an existing one. -
Data stewards should make an effort to adopt external vocabularies whenever possible. When no external vocabulary satisfies the requirements of a dataset, the creation of a LINCS-hosted vocabulary can be proposed.
For more detailed information about the workflow for proposing new vocabulary terms or an entire vocabulary, see Contributing to LINCS-hosted Vocabularies.
Policy for External Vocabularies
LINCS allows the adoption of any external vocabulary provided that it satisfies the following set of conditions. All external vocabularies should:
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Identify each vocabulary term through a unique, persistent, and dereferenceable URI, so that the term can be unambiguously identified and accessed on the web.
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Describe each vocabulary term through labels and definitions that fulfill semantic requirements, making them accessible through the term URI so that they can be easily retrieved and understood by both humans and machines.
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Exhibit evidence of ongoing maintenance and adoption in the broader Linked Open Data community.
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Be compatible with LINCS ethics policies.
LINCS does not mandate the use of a specific implementation technology, such as the Simple Knowledge Organization System (SKOS), for external vocabularies. However, the implementation should be compliant with the requirements outlined above.
Finding External Vocabularies
The Linked Open Vocabularies (LOV) project is a good starting point for searching for terms from over 900 vocabularies. The Canadian Heritage Information Network (CHIN) provides a useful guide to vocabularies for cultural heritage; see Vocabulary (data value standards).
LINCS recommends that data stewards consider vocabularies that have already been adopted in previous LINCS datasets, as this promotes interoperability and reuse. For recommendations about which vocabularies to adopt based on current usage in LINCS datasets, see the Recommended Vocabularies section below.
For more information about obtaining URIs for vocabulary terms, see Formulating and Obtaining URIs: A Guide to Commonly Used Vocabularies and Reference Sources.
Adding Terms to External Vocabularies
Researchers may create vocabulary terms by adding to any other existing external vocabulary willing to take additions. Wikidata is particularly suitable for this purpose since it allows any user to create new terms without prior approval. Once a term has been added and is accessible through the web, it can immediately be used within a LINCS dataset. Data stewards are responsible for ensuring that any terms they create are compliant with the policies of the organization that manages the vocabulary and with the LINCS requirements outlined above.
Creating New External Vocabularies
If no suitable external vocabularies are found, data stewards may opt to create and host their own external vocabularies. LINCS recommends that any new external vocabularies created by data stewards adhere to the specifications of the Simple Knowledge Organization System (SKOS), since these guarantee a consistent and interoperable vocabulary structure.
LINCS does not contribute to the creation, maintenance, or hosting of external vocabularies by data stewards. Publishing a vocabulary is a significant undertaking that requires long-term support, therefore LINCS does not recommend this option unless data stewards have the resources and a clear commitment to keep the vocabulary accessible and well-maintained in the long term.
Policy for LINCS-hosted Vocabularies
Vocabularies hosted by LINCS must adhere to a stricter set of requirements to ensure that they are accessible, well-structured, interoperable, and maintainable.
Responsibilities
This section defines who is responsible for the creation, maintenance, and modification of vocabularies hosted by LINCS. The responsibilities are distributed among LINCS staff, data stewards, and external users as described in the table below.
| Responsibility | Responsible Party |
|---|---|
| Hosting of the vocabulary on the LINCS website. | LINCS |
| Technical maintenance of the vocabulary, such as keeping the Vocabulary Browser software up to date, or resolving technical malfunctions. | LINCS |
| Definition of vocabulary terms. | Data stewards |
| Semantic maintenance of the vocabulary, including updates and corrections to labels, definitions, and taxonomic structure. | Data stewards |
| Proposal of new terms for inclusion in the vocabulary, or changes to existing terms. Anyone may propose changes to a LINCS-hosted vocabulary through the Vocabulary Browser feedback form. | External users |
| Approval of proposed changes to the vocabulary. LINCS will notify the responsible data stewards that a proposal has been made and request a response. If a response is not received within 3 months, LINCS will decide whether to accept or reject the proposal. | Data stewards & LINCS |
| Publication of the vocabulary on an external website. Data stewards may decide to provide vocabulary data elsewhere, but LINCS is not responsible for creating, maintaining, or synchronizing the external website. | Data stewards |
| Monitoring of biases and compliance with LINCS ethics policies. Any party introducing new vocabulary terms acknowledges the risk of coding bias into LINCS digital infrastructures, and commits to the rejection of terms that are at odds with LINCS guiding principles and values. | Everyone |
Declaration of every vocabulary term used in a contributed dataset with an rdfs:label and an rdf:type, whether the term is external, previously minted by LINCS, or created during conversion. | Data stewards |
| Checking whether LINCS already holds a relevant term before introducing a new one, and linking new terms to existing terms where reasonably possible and useful to other datasets. | Everyone |
| Deprecation of outdated vocabulary terms. Terms are never deleted. LINCS will assess deprecation requests submitted through the feedback form, subject to available resources, and will notify the responsible data stewards before acting. | Data stewards & LINCS |
| Long-term availability of the vocabulary. LINCS will keep hosted vocabularies online and dereferenceable as Linked Open Data after active development ends, including as a static site if necessary. | LINCS |
Accessibility & Persistence
Vocabularies hosted by LINCS are subject to accessibility and persistence requirements to ensure that they remain available and usable over time.
Each vocabulary is made accessible in multiple locations:
- They are available for browsing and exploring within the LINCS Vocabulary Browser.
- The source files are stored within the Vocabularies repository on the LINCS GitLab.
- They are uploaded to the LINCS Blazegraph triplestore and appear as named graphs within ResearchSpace. In addition, they are also available from the Fuseki triplestore, in the
/skosmosand/lincsdatasets. - Optionally, data stewards may choose to publish vocabularies on their own project websites.
All LINCS-hosted vocabularies must be persistent resources, as defined by the W3C persistence policy: “Publishers must recognize their responsibility in maintaining data once it is published. Key to both access and reuse is ensuring that the dataset(s) your organization publishes remains available where you say it will be and is maintained over time.” Outdated vocabulary terms should never be deleted, but instead deprecated.
Implementation Requirements
LINCS-hosted vocabularies must meet the following implementation requirements:
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New vocabulary terms for hosting by LINCS must be declared in a SKOS vocabulary and follow the declaration requirements provided in the SKOS Vocabulary Guidelines. All vocabularies must be declared using SKOS. For more information about required and recommended properties for vocabulary declaration, see Required and Recommended Properties.
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Definitions should be provided for every vocabulary term. When defining terms, do not use absolutes, so that the definition is not too rigid and can accommodate edge cases. For example, the term “painting” could be defined as “Usually a work of art created by applying pigment to a surface, but may also include works created through other methods such as digital painting or collage.”
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LINCS is a bilingual project, so labels should be provided in both English and French whenever possible, and definitions in both languages are highly desirable.
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Projects’ metadata forms should list what vocabularies they have used, and any internally-created vocabulary terms or datasets that are important to their content.
Updating LINCS-hosted Vocabularies
LINCS hosts vocabularies only for datasets that it has already agreed to convert. Vocabularies from researchers who are not working with LINCS to convert their data will not be hosted.
Where existing vocabulary terms are unable to provide the semantic specificity required by a dataset, new terms may be proposed for inclusion in LINCS provided that:
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Data stewards have searched for existing vocabularies but were unable to find terms or definitions that suit their needs.
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Data stewards are willing to undertake the labour of developing terms, labels, and definitions for their vocabulary. Both data stewards and LINCS staff need to have the resources to support this work.
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Projects may require additional funding for creation of larger vocabularies specific to their needs.
Creation, implementation, and maintenance of vocabularies is contingent on LINCS resources. In the event LINCS cannot host proposed vocabulary terms, projects may create their own vocabulary terms in Wikidata.
To propose new vocabulary terms, or an entire vocabulary, see Contributing to LINCS-hosted Vocabularies in the LINCS-hosted Vocabularies documentation.
Any party introducing new vocabulary terms bears the responsibility of, first, assessing whether LINCS already has a relevant term available to datasets. Any party introducing new vocabulary terms bears the responsibility of linking new terms to existing terms where reasonably possible and useful to other datasets.
Any changes to vocabularies used by LINCS should be communicated through the feedback form available on the LINCS Vocabulary Browser, or via email. This includes suggestions for new terms, edits to existing terms, or any other modifications. LINCS staff will review all feedback and respond to users in a timely manner.
Recommended Vocabularies
The table below lists the recommended vocabularies for each entity type in LINCS datasets. These recommendations are based on the vocabularies currently used in LINCS datasets, as well as on the availability of terms and definitions that meet the semantic requirements of each entity type. Data stewards are encouraged to use these vocabularies whenever possible, but they may also choose to use other vocabularies that meet the requirements outlined in this document.
For detailed statistics on which vocabularies are used in which LINCS datasets, and how heavily, see Vocabulary Usage by Dataset in the Vocabulary Documentation.
The vocabularies listed are the most frequently used for each entity type that usually requires a vocabulary type, in descending order of use.
| Entity Type | Recommended Vocabularies (based on LINCS usage) |
|---|---|
| Appellation | Getty AAT, LINCS Biography, Library of Congress |
| Identifier | Getty AAT, Wikidata |
| Information Object | LINCS Genre, Wikidata, Getty AAT |
| Linguistic Object | Wikidata, Getty AAT, LINCS Context |
| Physical Object | Getty AAT, Library of Congress, Wikidata |
| Place | LINCS Biography, LINCS Early Modern London |
References and Resources
- CIDOC CRM Special Interest Group, “CIDOC CRM 7.3.1 Reference Document”. Available at https://www.cidoc-crm.org/
- W3C, “SKOS Simple Knowledge Organization System Reference”. Available at https://www.w3.org/TR/skos-reference/
- W3C, “URI Persistence Policy”. Available at https://www.w3.org/policies/uri-persistence/
- Program for Cooperative Cataloging, “Formulating and Obtaining URIs: A Guide to Commonly Used Vocabularies and Reference Sources”. Available at https://www.loc.gov/aba/pcc/bibframe/TaskGroups/formulate_obtain_URI_guide.pdf
- Canadian Heritage Information Network, “Vocabulary (data value standards)”. Available at https://www.canada.ca/en/heritage-information-network/services/collections-documentation-standards/chin-guide-museum-standards/vocabulary-data-value.html
- Linked Open Vocabularies (LOV). Available at https://lov.linkeddata.es/dataset/
- LINCS Vocabulary Browser. Available at https://vocab.lincsproject.ca/Skosmos/en/
Document Details
Version: 1.0
Authors: [To be named]
Contributors: the LINCS Project team
Last Updated: 2026-08-15
Released: 2026-03-03