.. sidebar:: .. list-table:: **Ontology Card** :header-rows: 0 * - **Domain** - Ecology and Environment * - **Category** - Environment, Ecosystems, Habitats * - **Current Version** - 2024-07-01 * - **Last Updated** - 2024-07-01 * - **Creator** - Pier Luigi Buttigieg (https://orcid.org/0000-0002-4366-3088) * - **License** - Creative Commons 1.0 * - **Format** - owl * - **Download** - `Download Environment Ontology (ENVO) `_ Environment Ontology (ENVO) ======================================================================================================== ENVO (Environment Ontology) is a comprehensive, community-driven ontology for the concise, controlled description of environmental systems, components, and processes [#envo-obo]_ [#envo-2013]_. It provides standardized vocabulary for describing environmental features such as biomes, ecosystems, habitats, environmental materials (for example air, water, and soil), and environmental conditions [#envo-2016]_ [#envo-2013]_. ENVO captures semantic relationships between environmental entities and supports precise annotation of environmental, ecological, biological, and biomedical datasets [#envo-2013]_ [#envo-2016]_. As an open, FAIR-enabling ontology resource, ENVO promotes semantic interoperability by providing formal ontological definitions for environmental concepts that can be used by humans, machines, and Semantic Web applications [#envo-obo]_ [#envo-2016]_. The ontology supports diverse applications including environmental data management, ecology, biodiversity and microbiome studies, and other research that requires interoperable environmental descriptions [#envo-2013]_ [#envo-2016]_. **Example Usage**: Annotate an environmental dataset with ENVO terms for a biome, habitat, environmental material, or environmental condition. For example, terms describing a tropical rainforest environment, a biogeographic setting, or elevated soil moisture to enable semantic search, cross-study integration, and automated discovery of related environmental and ecological data [#envo-2013]_ [#envo-2016]_. Metrics & Statistics -------------------------- .. tab:: Graph .. list-table:: Graph Statistics :widths: 50 50 :header-rows: 0 * - **Total Nodes** - 43986 * - **Total Edges** - 107616 * - **Root Nodes** - 4449 * - **Leaf Nodes** - 19297 :: .. tab:: Coverage .. list-table:: Knowledge Coverage Statistics :widths: 50 50 :header-rows: 0 * - **Classes** - 9309 * - **Individuals** - 44 * - **Properties** - 208 :: .. tab:: Hierarchy .. list-table:: Hierarchical Metrics :widths: 50 50 :header-rows: 0 * - **Maximum Depth** - 28 * - **Minimum Depth** - 0 * - **Average Depth** - 2.69 * - **Depth Variance** - 9.89 :: .. tab:: Breadth .. list-table:: Breadth Metrics :widths: 50 50 :header-rows: 0 * - **Maximum Breadth** - 8473 * - **Minimum Breadth** - 2 * - **Average Breadth** - 1056.21 * - **Breadth Variance** - 4840394.03 :: .. tab:: LLMs4OL .. list-table:: LLMs4OL Dataset Statistics :widths: 50 50 :header-rows: 0 * - **Term Types** - 46 * - **Taxonomic Relations** - 16175 * - **Non-taxonomic Relations** - 147 * - **Average Terms per Type** - 5.75 :: Usage Example ---------------- Use the following code to import this ontology programmatically: .. code-block:: python from ontolearner.ontology import ENVO ontology = ENVO() ontology.load("path/to/ENVO-ontology.owl") # Extract datasets data = ontology.extract() # Access specific relations term_types = data.term_typings taxonomic_relations = data.type_taxonomies non_taxonomic_relations = data.type_non_taxonomic_relations References ---------- .. [#envo-obo] OBO Foundry. n.d. "Environment Ontology (ENVO)." Available at: `https://obofoundry.org/ontology/envo.html `_ .. [#envo-2013] Buttigieg, P. L., Morrison, N., Smith, B., Mungall, C. J., and Lewis, S. E. 2013. "The Environment Ontology: Contextualising Biological and Biomedical Entities." *Journal of Biomedical Semantics* 4:43. doi:10.1186/2041-1480-4-43 Available at: `https://pmc.ncbi.nlm.nih.gov/articles/PMC3904460/ `_ .. [#envo-2016] Buttigieg, P. L., Pafilis, E., Lewis, S. E., Schildhauer, M. P., Walls, R. L., and Mungall, C. J. 2016. "The Environment Ontology in 2016: Bridging Domains with Increased Scope, Semantic Density, and Interoperation." *Journal of Biomedical Semantics* 7:57. doi:10.1186/s13326-016-0097-6 Available at: `https://pmc.ncbi.nlm.nih.gov/articles/PMC5035502/ `_