Root of obsolete branch
Identifier pattern
Preferred namespace URI
Preferred namespace prefix
LHOExample of resource
Metadata vocabulary used
Ontologies
LHO
General information
Abstract
The Livestock Health Ontology (LHO) is a domain-specific ontology that contains information on the health and well-being of terrestrial livestock and aquaculture species.
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Description
The Livestock Health Ontology (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. For pigs, it includes farm type, age, weight, pig stages and pathogens like PRRS, SwineInfluenza, and M_Hyponemoniea. In poultry, LHO incorporates farm type, with specific pathogen names such as Infectious Bronchitis (IB), providing a concise overview of health aspects across livestock species. Incorporating pathogen identification results, whether positive or negative, within the Livestock Health Ontology (LHO), not only enhances data organization but also supports projects like DECIDE EU Horizon 2020. By providing a structured framework for analyzing disease emergence and options for diagnostic confirmation, LHO contributes to the development of robust data-driven decision-support tools in livestock health management.
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Initial created on
April 29, 2025.
For additional information, contact
Saba Noor (saba.noor@ugent.be) and Miel Hostens (miel.hostens@ugent.be).
Languages
Keywords and classes
Categories and subjects
Metrics
FAIR score
Ontology relations network
Submissions
Identifiers
URI
Version IRI
AgroPortal URI
Dates
Creation date
April 29, 2025
Validity date
April 22, 2025
Submission date
April 29, 2025
Modification date
April 28, 2025
Persons and organizations
Contact
Creator
Contributor
Publisher
Funded or sponsored by
Endorsed by
Translator
Other links
Source
Indexed or included in catalog or repository
Projects and usage information
Known usage
Designed for task (as defined by OMV).
Coverage
the development and application of Livestock Health Ontology (LHO) by integrating AGROVOC thesauruses, specifically designed for cattle, poultry, and pigs and salmon. The aim is to enhance integration and obtain a unified view of the data for analysis and visualization. This approach focuses on resource descriptive framework (RDF) data generation, utilizing SPARQL queries for data analysis, and data visualization to enhance LHO's applications in disease surveillance and early detection. The results are served to multiple data users, and showcased via a visualization tool to provide insights to veterinarians, researchers, and farmers. In the near future, we envision that this tool, or similar ones, capture pathogen trends, provide early warnings, support informed vaccination decisions, and facilitate effective disease control on farms.Example of use
Methodology and provenance
Knowledge representation paradigm
Domain Specific Modeling ParadigmEngineering methodology
Hybrid ApproachCreated with
ProtégéAccrual method
manual, AutomaticAccrual periodicity
Accrual policy
OpenCompetency question
What was the mortality, or infection, status in livestock species?, What pathogens were detected in a (Pig, poultry, and cattle) sample during a diagnostic test?, What is the production stage (e.g., weaning, growing, finishing) at which pigs tested positive for Mycoplasma hyopneumoniae?, What diseases and pathogen were detected?, What is the breed of a pig associated with a particular disease outbreak?, Which Local Authorities have the highest salmon biomass production?, Which Local Authority has the highest cumulative mortalities over the past year?, What is the mortality (in kilograms) recorded at a specific salmon farm in December 2024?Was generated by
AutoGenerationActivity, ManualCurationActivityCommunity
Audience
veterinarians , researchers, stakeholdersRepository
Mailing list
sabanoor8867@gmail.comTo do list
Updating Ontology for aquatic speciesNotes
LHO, guided by OBO Foundry principles, integrates domain knowledge and data for livestock health. The ontology covers farms, samples, geolocation, breed, diagnostic tests, and pathogen identification, including bacteria like Histophilus somni, Mannheimia haemolytica, Pasteurella multocida, Bovine coronavirus, bacterial mycoplasma, and aerobic culture results in cattle. For pigs, it includes FarmType, age, weight, and pathogens like PRRS, SI 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.
LHO, guided by OBO Foundry principles, integrates domain knowledge and data for livestock health. The ontology covers farms, samples, geolocation, breed, diagnostic tests, and pathogen identification, including bacteria like Histophilus somni, Mannheimia haemolytica, Pasteurella multocida, Bovine coronavirus, bacterial mycoplasma, and aerobic culture results in cattle. For pigs, it includes FarmType, age, weight, and pathogens like PRRS, SI 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 terrestrial livestock and aquaculture species.
Content