Technology

Hierarchical Taxonomy of Psychopathology

"Objectives of the Hierarchical Taxonomy of Psychopathology (HiTOP) are to advance the classification of psychopathology to maximize its usefulness for research and clinical practice. The HiTOP aims to address limitations of traditional nosologies, such as the DSM-5 and ICD-10, including arbitrary boundaries between psychopathology and normality, often unclear boundaries between disorders, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability.

Minimum Information for A Phylogenetic Analysis

"The MIAPA ontology is intended to be an application ontology for the purpose of semantic annotation of phylogenetic data according to the requirements and recommendations of the Minimum Information for A Phylogenetic Analysis (MIAPA) metadata reporting standard. The ontology leverages (imports) primarily from the CDAO (Comparative Data Analysis Ontology), PROV (W3C Provenance Ontology), and SWO (Software Ontology, which includes the EDAM ontologies) ontologies.

"The MIAPA ontology is intended to be an application ontology for the purpose of semantic annotation of phylogenetic data according to the requirements and recommendations of the Minimum Information for A Phylogenetic Analysis (MIAPA) metadata reporting standard. The ontology leverages (imports) primarily from the CDAO (Comparative Data Analysis Ontology), PROV (W3C Provenance Ontology), and SWO (Software Ontology, which includes the EDAM ontologies) ontologies.

Drug Interaction and Evidence Ontology

"A new foundational representation of potential drug-drug interactions
(PDDIs) that covers the material entities and processes in the domain
of discourse for PDDI evidence and knowledge claims. The
representation will enable the integration of drug interaction
mechanisms, effects, risk factors, severity, and management options
with the chemical and pharmacological properties (e.g., chemical
structure, function, pharmacokinetic and pharmacodynamic properties)
of the interacting drugs."

"A new foundational representation of potential drug-drug interactions
(PDDIs) that covers the material entities and processes in the domain
of discourse for PDDI evidence and knowledge claims. The
representation will enable the integration of drug interaction
mechanisms, effects, risk factors, severity, and management options
with the chemical and pharmacological properties (e.g., chemical
structure, function, pharmacokinetic and pharmacodynamic properties)
of the interacting drugs."

eNanoMapper

"The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. > This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO."

"The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. > This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO."

Cardiovascular Disease Ontology

"CVDO is an ontology of cardiovascular diseases structured on OBO foundry’s principle and based on BFO. CVDO reorganizes and completes DOID cardiovascular diseases following OGMS tripartite model of disease, and builds its taxonomy of diseases largely by automatic reasoning."

"CVDO is an ontology of cardiovascular diseases structured on OBO foundry’s principle and based on BFO. CVDO reorganizes and completes DOID cardiovascular diseases following OGMS tripartite model of disease, and builds its taxonomy of diseases largely by automatic reasoning."

Agronomy Ontology

"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. Once stable, it is anticipated to provide value to SDGIO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse.

"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. Once stable, it is anticipated to provide value to SDGIO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse.

International Geotechnical Classification System

The Swedish Geotechnical Institute (SGI) is an expert agency that works for a safe, efficient and sustainable development and sustainable use of land and natural resources.

The Swedish Geotechnical Institute (SGI) is an expert agency that works for a safe, efficient and sustainable development and sustainable use of land and natural resources.

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