# LivestockHealthOntology (LHO)

> The Livestock Health Ontology (LHO) extends the DECIDE ontology specifically designed for salmon...

- Page: https://library.schematica.io/model/3b773b29048c416caec1b586beba1120
- Model type: Ontology
- License: CC BY 4.0
- Access type: Free
- Access method: Download
- Model size: Small
- Formats: OWL
- Domains: Healthcare
- External link: https://bioportal.bioontology.org/ontologies/LHO
- Contact: Saba Noor (saba.noor@ugent.be)
- Listed in library: 2025-06-12
- Last updated: 2025-09-10

## Description

## Ontology Info

| Field | Value |
|-------|-------|
| Acronyme | LHO |
| Description | The Livestock Health Ontology (LHO) extends the DECIDE ontology specifically designed for salmon usecase. LHO contains information on the health and well-being of livestock animal species such as cattle, pigs, and poultry. Furthermore, it represents the explicit structured and standardized framework for specific domain knowledge and data integration of livestock species. During the development process, knowledge can be retrieved from domain experts, and after the retrieving process, the prototype is designed for reasoning and planning of data related to cattle, pigs, and poultry. Moreover, LHO contains information regarding farms Identifications, their samples, geolocation, breed, diagnostic tests, Pathogen identifications, and Pathogen results for specific bacteria such as Histophilus Somni (HS), Mannheimia Haemolytica (MH), Pasteurella Multocida (PM), Bovine Coronavirus (BCV) bacterial mycoplasma and aerobic culture results for the respiratory diseases in cattle. This information is represented as concepts of classes, subclasses, and their relationship in the form of object and data properties.<br>For pigs, it includes FarmType, age, weight, and pathogens like PRRS, SwineInfluenza, and M_Hyponemoniea. In poultry, LHO incorporates FarmType, with specific pathogen names such as Infectious Bronchitis (IB), providing a concise overview of health aspects across livestock species.<br>), Salmon case study demonstrates the semantic modeling and integration of aquaculture-specific attributes such as hasMortality, hasActualBiomass, hasWaterType, and hasLocalAuthority. The data supports epidemiological analysis of fish health by mapping samples and measurements to environmental and production factors. |
| Format | OWL |
| Categories | Health, All Organisms, Animal Development |
| Groups |  |

## Metrics

| Metric | Value |
|--------|-------|
| Classes | 104 |
| Individuals | 127 |
| Properties | 51 |
| Max Depth | 4 |
| Max Child Count | 32 |
| Average Child Count | 4 |
| Classes With One Child | 6 |
| Classes With More Than 25 Children | 1 |
| Classes With No Definition | 4 |

## Projects using LHO

No projects using LHO

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Source: https://library.schematica.io/model/3b773b29048c416caec1b586beba1120