# Best Practices for Implementing FAIR Vocabularies and Ontologies on the Web

arXiv: https://arxiv.org/abs/2003.13084 · HTML: https://mlsanity.com/paper/2003.13084/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Mar 2020.

## Built on by (most cited first, 5 of 5)

- [The AnIML Ontology: Enabling Semantic Interoperability for Large-Scale Experimental Data in Interconnected Scientific Labs](https://mlsanity.com/paper/2604.01728/) (2026)
- [Nanopublication-Based Semantic Publishing and Reviewing: A Field Study with Formalization Papers](https://mlsanity.com/paper/2203.01608/) (2022)
- [Marriage is a Peach and a Chalice: Modelling Cultural Symbolism on the SemanticWeb](https://mlsanity.com/paper/2111.02123/) (2021)
- [RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice](https://mlsanity.com/paper/2311.14540/) (2023)
- [Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks](https://mlsanity.com/paper/2608.05867/) (2026)

## Abstract (arXiv)

With the adoption of Semantic Web technologies, an increasing number of vocabularies and ontologies have been developed in different domains, ranging from Biology to Agronomy or Geosciences. However, many of these ontologies are still difficult to find, access and understand by researchers due to a lack of documentation, URI resolving issues, versioning problems, etc. In this chapter we describe guidelines and best practices for creating accessible, understandable and reusable ontologies on the Web, using standard practices and pointing to existing tools and frameworks developed by the Semantic Web community. We illustrate our guidelines with concrete examples, in order to help researchers implement these practices in their future vocabularies.
