BioportalWebUi

URI*	http://purl.org/aro/dcpo http://purl.org/aro/dcpo
Abstract	Dairy farming is being intensively computerized, whereby the goal is to use the recorded data to optimize production processes. This requires extensive analytics, which needs a good understanding of the data. It is also necessary that the datasets be federated to be able to get an integrated view. Although conventional database tools are helpful in that process, it is believed that linked data and ontologies can provide seamless integration of different sources while providing a semantic layer allowing deeper introspection of data. The objective was to build an ontology to provide such a semantic layer to dairy herd improvement (DHI) data. A large dataset of milk production data was provided by Lactanet, Canadian Network for Dairy Excellence. This data is typically heterogeneous, i.e., covering partially or thoroughly health, nutrition, yield, and genetics. It also possesses a complex structure, with a large variety of data for a unique animal, dispersed in many records and multiple tables. A dedicated domain ontology, referred to as the Dairy Cattle Performance Ontology (DCPO), was built from a semantic analysis of the datasets. The initial core set of entities was determined using the definitions and minimal attribute sets for traits provided by ICAR guidelines and CDN documents. This core was gradually enriched with lower-level entities and aligned to more abstract concepts from the Basic Formal Ontology (BFO) to provide a foundational theory. The process was validated by domain experts. DCPO provides a rich and extensible data schema, a vocabulary based on international standards to support stakeholder collaboration. It federates external data sources and provides a semantic interface to query the obtained integrated linked data. Finally, DCPO underlies a knowledge base supporting analytics and decision making. Preliminary evaluation followed a query-based approach: SPARQL queries were designed reflecting typical questions experts might ask to assess the practical usability of DCPO. Mining structural regularities, or patterns, in data may lead an expert to discover unknown phenomena or to confirm an already formulated hypothesis. The benefit of using DCPO as vocabulary for patterns is to enable seemingly unrelated yet isomorphic sub-graphs in the data with diverging vertex and edge labels, to become identical once their labels are generalized to DCPO classes and properties. Key benefit thereof was the patterns were described using the domain expert language to increase their interpretability. Next, we plan to use the ontology to support the deep learning-based inference of predictive models for milk production. See more...
Knowledge representation paradigm	DCPO uses a three-tiered semantic architecture with BFO as foundational or upper-level ontology, CCO as core or mid-level ontologies and DCPO as the domain-level ontology deriving its semantics from the upper levels. See more...
Contact*	Petko Valtchev (valtchev.petko@uqam.ca) Abdoulaye Banire Diallo (diallo.abdoulaye@uqam.ca) Victor Fuentes (fuentes.victor_eduardo@courrier.uqam.ca)
Object creation date property	http://purl.org/dc/elements/1.1/created http://purl.org/dc/elements/1.1/created
Submission date	December 19, 2024
Deprecated	false See more...
Description*	DCPO is an ontology for representing dairy farming processes, the cattle performance indicators used to improve them and the associated recording procedures. See more...
Contributor	Abdoulaye Banire Diallo Petko Valtchev
Creator	Victor Fuentes
Subject	http://aims.fao.org/aos/agrovoc/c_68bf28f2 See more...
Formality level	http://w3id.org/nkos/nkostype#ontology http://w3id.org/nkos/nkostype#ontology
License
Representation language*	OWL See more...
Syntax	http://www.w3.org/ns/formats/OWL_XML http://www.w3.org/ns/formats/OWL_XML
Generic type	http://omv.ontoware.org/2005/05/ontology#DomainOntology http://omv.ontoware.org/2005/05/ontology#DomainOntology
Key classes	Animal See more...
Modification date	December 19, 2024
Object modification date property	http://purl.org/dc/elements/1.1/modified http://purl.org/dc/elements/1.1/modified
Natural language
Access URL	http://purl.org/aro/dcpo http://purl.org/aro/dcpo
Creation date*	November 27, 2024
Status*	alpha See more...
URI Lookup Endpoint	https://agroportal.lirmm.fr/search?ontologies=DCPO&require_exact_match=true&q= search?ontologies=DCPO&require_exact_match=true&q=

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