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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 ontology that allows the description of numerical and categorical bibliometric data (e.g., journal impact factor, author h-index, categories describing research careers) in RDF.

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

An ontology based on PRO for describing the contributions that may be made, and the roles that may be held by a person with respect to a journal article or other publication (e.g. the role of article guarantor or illustrator).

The Essential FRBR in OWL2 DL Ontology (FRBR) is an expression in OWL 2 DL of the basic concepts and relations described in the IFLA report on the Functional Requirements for Bibliographic Records (FRBR), also described in Ian Davis's RDF vocabulary. It is imported by FaBiO and BiRO.

An ontology that permits the number of in-text citations of a cited source to be recorded, together with their textual citation contexts, along with the number of citations a cited entity has received globally on a particular date.

An ontology meant to define bibliographic records, bibliographic references, and their compilation into bibliographic collections and bibliographic lists, respectively.

An ontology for describing the steps in the workflow associated with the publication of a document or other publication entity.

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/)

An ontology that provides a structured vocabulary for rhetorical elements within documents (e.g., Introduction, Discussion, Acknowledgements, Reference List, Figures, Appendix). It is imported by DoCO.

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.

Upper-Level ontology for Biology and Medicine. Compatible with BFO, DOLCE, and the UMLS Semantic Network

An ontology of histopathological morphologies used by pathologists to classify/categorise animal lesions observed histologically during regulatory toxicology studies. The ontology was developed using real data from over 6000 regulatory toxicology studies donated by 13 companies spanning nine species. The original structure of the histopathology ontology was designed ab initio when the [INHAND](http://www.goreni.org/) manuscripts were not available. However, the ontology has been repetitively reviewed and updated to align with the subsequently published INHAND manuscripts. During this process cross references to INHAND lesion identifiers were added to the ontology. [from GitHub]

DTO integrates and harmonizes knowledge of the most important druggable protein families: kinases, GPCRs, ion channels and nuclear hormone receptors.

An ontology written in OWL 2 DL to enable characterization of the five attributes of an online journal article - peer review, open access, enriched content, available datasets and machine-readable metadata.

DermO is an ontology with broad coverage of the domain of dermatologic disease and we demonstrate here its utility for text mining and investigation of phenotypic relationships between dermatologic disorders

It is an ontology model used to describe associations between biomedical entities in triple format based on W3C specification. OBAN is a generic association representation model that loosely couples a subject and object (e.g. disease and its associated phenotypes supported by the source of evidence for that association) via a construction of class OBAN:association. [from GitHub]

An ontology that represents the basic knowledge of physical, chemical and functional characteristics of nanotechnology as used in cancer diagnosis and therapy.

The Annotation Ontology specification is currently used as input for the activities of the http://www.w3.org/community/openannotation/'>W3C Open Annotation Community Group that works towards a common, RDF-based, specification for annotating digital resources. The Group effort starts by working towards a reconciliation of two proposals that have emerged over the past two years: the http://code.google.com/p/annotation-ontology/'>Annotation Ontology and the http://www.openannotation.org/spec/beta/'>Open Annotation Model. Initially, editors of these proposals will closely collaborate to devise a common draft specification that addresses requirements and use cases that were identified in the course of their respective efforts. The goal is to make this draft available for public feedback and experimentation in the second quarter of 2012. The final deliverable of the Open Annotation Community Group will be a specification, published under an appropriate open license, that is informed by the existing proposals, the common draft specification, and the community feedback. [from homepage]

With the growing number of available genomes, the need for an environment to support effective comparative analysis increases. The original SEED Project was started in 2003 by the [Fellowship for Interpretation of Genomes (FIG)](http://thefig.info/) as a largely unfunded open source effort. Argonne National Laboratory and the University of Chicago joined the project, and now much of the activity occurs at those two institutions (as well as the University of Illinois at Urbana-Champaign, Hope college, San Diego State University, the Burnham Institute and a number of other institutions). The cooperative effort focuses on the development of the comparative genomics environment called the SEED and, more importantly, on the development of curated genomic data. This prefix provides identifiers for molecular roles that describe the function of one or more proteins in microbes and plants.