Crops, plants, traits, livestock and food.
FoodOn is a comprehensive and easily accessible global farm-to-fork ontology about food that accurately and consistently describes foods commonly known in cultures from around the world. It is a consortium-driven project built to interoperate with the The Open Biological and Biomedical Ontology Foundry library of ontologies.
The Plant Ontology is a structured vocabulary and database resource that links plant anatomy, morphology and growth and development to plant genomics data.
A controlled vocabulary to describe phenotypic traits in plants.
The CDNO provides structured terminologies to describe nutritional attributes of material entities that contribute to human diet. These terms are intended primarily to be associated with datasets that quantify concentration of chemical nutritional components derived from samples taken from any stage in the production of food raw materials (including from crops, livestock, fisheries) and through processing and supply chains.
A structured, controlled vocabulary which describes the treatments, growing conditions, and/or study types used in plant biology experiments.
The Plant Stress Ontology describes biotic and abiotic stresses that a plant may encounter.
An ontology for describing the phenology of individual plants and populations of plants, and for integrating plant phenological data across sources and scales.
AgrO is an ontlogy for representing agronomic practices, techniques, variables and related entities
The initial focus of the GS1 Web Vocabulary is consumer-facing properties for clothing, shoes, food beverage/tobacco and properties common to all products. [from homepage]
A domain ontology on food and bioproduct processing and characterization that is a specialization of the PO2 ontology (Process and Observation Ontology).
AGROVOC is a multilingual and controlled vocabulary designed to cover concepts and terminology under FAO's areas of interest. It is the largest Linked Open Data set about agriculture available for public use and its greatest impact is through providing the access and visibility of data across domains and languages.
FOBI (Food-Biomarker Ontology) is an ontology to represent food intake data and associate it with metabolomic data
An ontology developed for representing crop energy data.
An ontology developed for representing crop maps.
OntoFHRS is an ontology developed for representing food hygiene ratings of business establishments.
This ontology extends the SAREF ontology for the Agricultural domain. This work has been developed in the context of the STF 534 (https://portal.etsi.org/STF/STFs/STFHomePages/STF534.aspx), which was established with the goal to create three SAREF extensions, one of them for the Agricultural domain.
AusTraits is an open-source, harmonized database of Australian plant trait data. It synthesises data on nearly 500 traits across more than 30,000 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Begun in 2016 as an initiative between three lab groups, it has grown to be the largest collation of plant trait data for Australian plants.
The Agriculture Product Types Ontology (APTO) is an ontology of types, meaning it does not contain individuals and is intended as a classification system for agricultural commodities price index databases in Brazil. This ontology contains labels and comments in both Portuguese and English. There are two main modules: :Organism and :Product_type. The :Organism class contains subclasses that represent the taxonomy of species related to the production of given product types.
Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Common Bean Ontology is one of these reference plant ontologies integrated within the Crop Ontology.
Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The IBP Rice Trait Ontology is one of these reference plant ontologies integrated within the Crop Ontology. Based on SES, Rice Descriptor and IRIS DB.
Reference Plant Ontologies are being developed in the context of the Planteome project and are being integrated with the Crop Ontology, which provides harmonized breeders’ trait names, measurement methods, scales and standard variables for many crops. The Sweet Potato Ontology is one of these reference plant ontologies integrated within the Crop Ontology.
Apple (Malus domestica) defines crop traits and variables to support the standardisation of apple breeding databases providing description of agronomic, morphological, physiological, quality traits, its methods and scales. This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 894215.
This ontology is a part of the the Crop Ontology project , as an essential source of traits and variables to support the standardization of the breeding databases.
Coconut Ontology v1.0 - Coconut trait dictionary started by CIRAD, based on the "Guidelines for collecting coconut germplasm characterisation data during prospecting missions", COGENT (to be published); the "Descriptors for Coconut, (Cocos nucifera L.)", IPGRI (1995); and the "Manual on standardized research techniques in coconut breeding", IPGRI (1996).
This ontology is a part of the the Crop Ontology project, as an essential source of traits and variables to support the standardization of the breeding databases.
The Semantic Web for Earth and Environmental Terminology (SWEET) ontology for Human Agriculture
Ontology capturing knowledge related to food allergen management and traceability.
This ontology, combined with ontologies from the Italian OntoPiA network, makes it possible to model the reality of a municipality. It includes events, associations, businesses, schools, hospitals, green areas, plants, street signs, traffic observations, traffic accidents and demographic statistics.
SuMSO is a domain of ontology, representing meat systems sustainability. Currently, this resource provides the core ontological module of SuMSO that deals with the essential architectural features of a sustainable meat system. This ontological module addresses meat in a broad, genuine sense focusing on cow-derived meat as a starting use-case example. It does not address features related to fish, insects, novel meats, and plant-based meats.
In this ontology, we defined nine distinct categories that encompass various aspects of lifestyle factors (LSFs), creating a unified Lifestyle Factors Ontology (LSFO) across these categories. Within the context of lifestyle, we have identified nine categories that can collectively describe all LSFs, namely: 1-Nutrition, a category that covers different branches such as dietary habits, food groups, food processing and preparation, macronutrients, and micronutrients, among others.
The primary purpose of ISO 15926 is to provide a foundation ontology to support the integration and sharing of data related to the lifecycle of a process plant in such a way that it is consistent, unambiguous, and minimizing the number of ways something could be expressed. Further purpose of ISO 15926-14 is to meet needs for OWL 2 ontologies that are based on ISO 15926-2, that enable efficient reasoning and that capture lifecycle information.
Companion Planting Ontology is a resource developed by the Knowledge in AI group of Vrije Universiteit Amsterdam, for the purpose of understanding and implementing companion planting strategies in agriculture. Companion planting is the practice of growing certain plants in proximity for pest control, pollination, providing habitat for beneficial creatures, maximizing use of space, and to otherwise increase crop productivity.
This ontology defines the alignment from IFC to Modelica for plant simulation (HVAC equipment).
ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment. ATOL aims to: provide a reference ontology of phenotypic traits of farm animals for the international scientific and educational - communities, farmers, etc.; deliver this reference ontology in a language which can be used by computers in order to support database management, semantic analysis and modeling; represent traits as generic as possible for livestock vertebrates;
An ontology to model food donation logistics.
ENVO is an ontology which represents knowledge about environments,environmental processes, ecosystems, habitats, and related entities
An ontology listing the natural substances that occur in the plant family of Compositae (Asteraceae)., An ontology listing the natural substances that occur in the plant family of Compositae (Asteraceae)
Vocabulary for Digital Product Passports (DPP) managing product lifecycle, warranties, repairs, and compliance with EU regulations (ESPR EU 2024/1781). Aligned with GS1 Digital Link standards, including GTIN, GLN, granularity (model/batch/serial) and compound identifier support.
Vocabulary for Return Merchandise Authorization (RMA) and service ticket management, standardizing communication between consumers, retailers, and repairers.
Along with Wine Ontology, was used as example in the first OWL Recommendation (February 2004)
Defines concepts and properties specific for the SmartProducts Philips use case (cooking domain).
This ontology was used as example in the first OWL Recommendation (February 2004)
A common vocabulary for digital food platforms (Product Glossary Part)
A common vocabulary for digital food platforms (Technical Part)
Beverage Ontology is a Web vocabulary for describing beverages, mainly alcoholic.
A common vocabulary for digital food platforms
DFC Business Ontology: DFC Business Ontology. A vocabulary listed in Linked Open Vocabularies (LOV).
This ontology models the Food domain. It allows to describe ingredients and food products. Ontology used by the Open Food Facts dataset
Browse all 51 in the catalog →
Uberon is an integrated cross-species anatomy ontology representing a variety of entities classified according to traditional anatomical criteria such as structure, function and developmental lineage. The ontology includes comprehensive relationships to taxon-specific anatomical ontologies, allowing integration of functional, phenotype and expression data.
The Gene Ontology project provides a controlled vocabulary to describe gene and gene product attributes in any organism.
PATO is an ontology of phenotypic qualities, intended for use in a number of applications, primarily defining composite phenotypes and phenotype annotation.
The Environment Ontology is a resource and research target for the semantically controlled description of environmental entities. The ontology's initial aim was the representation of the biomes, environmental features, and environmental materials pertinent to genomic and microbiome-related investigations.
Evidence codes can be used to specify the type of supporting evidence for a piece of knowledge. This allows inference of a 'level of support' between an entity and an annotation made to an entity.
Chemical Entities of Biological Interest (ChEBI) is a freely available dictionary of molecular entities focused on 'small' chemical compounds.
The OBO Relation Ontology provides consistent and unambiguous formal definitions of the relational expressions used in biomedical ontologies.
Traits and phenotypes of flowering plants occurring in digitized Floras
STATO is the statistical methods ontology. It contains concepts and properties related to statistical methods, probability distributions and other concepts related to statistical analysis, including relationships to study designs and plots.
The taxonomy contains the relationships between all living forms for which nucleic acid or protein sequence have been determined.
The Vertebrate Trait Ontology is a controlled vocabulary for the description of traits (measurable or observable characteristics) pertaining to the morphology, physiology, or development of vertebrate organisms.
The Experimental Factor Ontology (EFO) provides a systematic description of many experimental variables available in EBI databases. It combines parts of several biological ontologies, such as anatomy, disease and chemical compounds. The scope of EFO is to support the annotation, analysis and visualization of data handled by the EBI Functional Genomics Team.
The PSI-Mass Spectrometry (MS) CV contains all the terms used in the PSI MS-related data standards. The CV contains a logical hierarchical structure to ensure ease of maintenance and the development of software that makes use of complex semantics.
FuTRES Ontology of Vertebrate Traits is an application ontology used to convert vertebrate trait data in spreadsheet to triples. FOVT leverages the BioCollections Ontology (BCO) to link observations of individual specimens to their trait values. Traits are defined in the Ontology of Biological Attributes (OBA).
A representation of the variety of methods used to make clinical and phenotype measurements.
An ontology for description of concepts in the nutritional studies domain.
The Genomic Epidemiology Ontology (GenEpiO) covers vocabulary necessary to identify, document and research foodborne pathogens and associated outbreaks.
NCI Thesaurus (NCIt) provides reference terminology covering vocabulary for clinical care, translational and basic research, and public information and administrative activities, providing a stable and unique identification code.
The BioAssay Ontology (BAO) describes chemical biology screening assays and their results including high-throughput screening (HTS) data for the purpose of categorizing assays and data analysis.
The Proteomics Standards Initiative modification ontology (PSI-MOD) aims to define a concensus nomenclature and ontology reconciling, in a hierarchical representation, the complementary descriptions of residue modifications.
METPO (Microbial Ecophysiological Trait and Phenotype Ontology) provides standardized terms for describing microbial phenotypes, growth characteristics, and culture conditions. It includes classes for growth media, temperature tolerances, pH tolerances, and relationships like "grows in" and "does not grow in".
The upper level ontology upon which OBO Foundry ontologies are built.
Ontology of plant gall phenotypes. Plant galls are novel plant structures, generated by plants in response to biotic stressors. This ontology is used to annotate gall phenotypes (e.g., their colors, textures, sizes, locations on the plant) in a semantic way, in order to facilitate discoveries about the genetic and physiologic mechanisms responsible for such phenotypes. The ontology can also be used as a controlled vocabulary for natural language descriptions of plant galls.
The Population and Community Ontology (PCO) describes material entities, qualities, and processes related to collections of interacting organisms such as populations and communities. It is taxon neutral, and can be used for any species, including humans. The classes in the PCO are useful for describing evolutionary processes, organismal interactions, and ecological experiments. Practical applications of the PCO include community health care, plant pathology, behavioral studies, sociology, and ecology.
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