In this thesis the Semantic Web and its core technology---Web Ontology Language (OWL)---were studied. Considering the features of the different units involved in the dairy industry, OWL, in its capacity as an ontology description language, can be used to encode and thus exchange ontology among the units in the dairy industry. After creation of OWL file using Protege, an OWL parser was programmed to decode the ontology and data contained in the OWL file. Based on these investigations, it was determined that OWL can be used to encode, exchange, and decode data between farms and the units that interact with them, although large volumes of data among the service agencies pose certain challenges in terms of transfer size. A structure of the Semantic Web services in the dairy industry is proposed for Semantic Web Service registration, search and usage related to certain farm-management tasks. With the help of the Semantic Web and OWL, one can expect a more efficient data processing in the future dairy industry.

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