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A controlled vocabulary for education levels, such as primary eduation, secondary education, and post-secondary education

This is a vocabulary for educational sectors as used in the OER World Map (https://oerworldmap.org)

This SKOS vocabulary describes types of primary and secondary schools in Germany, such as Grundschule, Gymnasium, and Realschule. This does not include post-secondary education such as universities or hochschulen.

This is a code repository for the SIB - Swiss Institute of Bioinformatics CALIPHO group neXtProt project, which is a comprehensive human-centric discovery platform, that offers a integration of and navigation through protein-related data. CALIPHO is an interdisciplinary team which aims to use a variety of methodologies to help uncover the function of uncharacterized human proteins.

The covid-19 epidemiology and monitoring ontology (cemo) provides a common ontological model to make epidemiological quantitative data for monitoring the covid-19 outbreak machine-readable and interoperable to facilitate its exchange, integration and analysis, to eventually support evidence-based rapid response.

The Science Data Discovery Ontology (sddo) is being developed to provide a semantic foundation for the discovery of information managed by NASA's Science Mission Directorate. This information spans many scientific disciplines, fields and subfields, including heliophysics, earth science, planetary science, astrophysics, biology, astrobiology, and physical science. [from repository]

A vocabulary of university course subjects

Algorithm Metadata Vocabulary is a vocabulary for capturing and storing the metadata about the algorithms (a procedure or a set of rules that is followed step-by-step to solve a problem, especially by a computer). There are uncountable algorithms present in every area (e.g., Computer Science, Mathematics), which makes it hard for specialists, academicians, application engineers, and so forth to discover, distinguish, select, and reuse them. [from repository]

An ontology transcription of definitions in the Functional Mock-up Interface (FMI) standard document from https://fmi-standard.org/ that enables representing Functional Mock-up Units (FMUs) in RDF

An ontology to support disciplinary annotation of Arctic Data Center datasets.

An ontology encoding the Common Information Model (CIM) schema

An educational ontology for personalised recommendation learning systems that is based on learning path and user profile. It represents the key components for a personalised learning system based on our requirement analysis.

A small ontology expressing skills and competencies.

This proposed vocabulary allows edges in Property Graphs (e.g Neo4j, RDF*) to be augmented with edge properties that specify ontological semantics, including (but not limited) to OWL-DL interpretations. [from GitHub]

SWAN ontology consists in a collection of ontologies used to create, manage and share scientific knowledge bases.

This ontology is designed to support data search, retrieval and information identification in the EJP-RD catalogs which covers the registries and biobanks for rare diseases. (from repository)

The Reagent Ontology (ReO) adheres to OBO Foundry principles (obofoundry.org) to model the domain of biomedical research reagents, considered broadly to include materials applied “chemically” in scientific techniques to facilitate generation of data and research materials. ReO is a modular ontology that re-uses existing ontologies to facilitate cross-domain interoperability. It consists of reagents and their properties, linking diverse biological and experimental entities to which they are related. ReO supports community use cases by providing a flexible, extensible, and deeply integrated framework that can be adapted and extended with more specific modeling to meet application needs.

The Semantic Resource Types Vocabulary was created for NSF's EarthCube Program's Resource Repository. Includes entries for things like 'thesaurus', 'ontology', 'controlled vocabulary', 'taxonomy'.

This ontology defines a taxonomy of software functions based on the work of the NSF-funded EarthCube Resource Registry working group. The functions are generally organized by their role in the research process.

The Data Model Language Controlled Vocabulary was created for NSF's EarthCube Program's Resource Registry. At this point it merely lists a few of the languages used by data model resources in the registry.

The Audience Types Controlled Vocabulary was created for NSF's EarthCube program's Resource Registry. The vocabulary defines the types of audience each resource in the program is targeted to. At this point the vocabulary is very bare - no term definitions even; however, the intention is to extend the vocabulary over time. If you would like to assist with this or in extending any of the other controlled vocabularies/ontologies developed as part of the Resource Registry project, please see https://github.com/earthcubearchitecture-ecresourcereg.

This mini-ontology contains classes and instances for each version of the licenses that are commonly used in software projects, particularly open source software projects. The URI's for each are the canonical URI's for that license (where they exist).

The Extensible Observation Ontology (OBOE) is a formal ontology for capturing the semantics of scientific observation and measurement. The ontology supports researchers to add detailed semantic annotations to scientific data, thereby clarifying the inherent meaning of scientific observations.

An OWL 2 DL ontology developed for creating sets, bags and lists of resources, and for inferring collection properties even in the presence of incomplete information.

An ontology for describing the administrative information of research projects, e.g., grant applications, funding bodies, project partners, etc.

An ontology for the characterisation of the roles of agents – people, corporate bodies and computational agents in the publication process. These agents can be, e.g. authors, editors, reviewers, publishers or librarians.

TogoID is an ID conversion service implementing unique features with an intuitive web interface and an API for programmatic access. TogoID supports datasets from various biological categories such as gene, protein, chemical compound, pathway, disease, etc. TogoID users can perform exploratory multistep conversions to find a path among IDs. To guide the interpretation of biological meanings in the conversions, we crafted an ontology that defines the semantics of the dataset relations. (from https://togoid.dbcls.jp/)

The Shape Expressions (ShEx) language describes RDF nodes and graph structures. A node constraint describes an RDF node (IRI, blank node or literal) and a shape describes the triples involving nodes in an RDF graph. These descriptions identify predicates and their associated cardinalities and datatypes. ShEx shapes can be used to communicate data structures associated with some process or interface, generate or validate data, or drive user interfaces.

An ontology that enables the description of reviews of scientific articles and other scholarly resources.