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Modeling of Test Specifications of Raw Materials in Seafood Ontology using Semantic Web Rule Language (SWRL)

The environmental risks of seafood are enormous which include, water pollution, metal pollution and other bacterial pollution. So the quality of seafood is a major concern to food processors and public health authorities around the world. Seafood companies implement the quality management systems in their platforms; mostly database oriented one. We have proposed ontology-based system for assuring the quality of seafood. Ontology based systems are semantically rich and have better clarity compared to database systems. Such systems enable information retrieval in a more meaningful way. Our model analyses the different lab test results with the standard specification guidelines, generates hazard reports, seafood quality reports, etc. This paper focuses on the ontology modeling of test specifications of raw material using Semantic Web Rule Language (SWRL). Protege 3.5 is used to implement the user interfaces of the model. As a case study, molluscus raw material is considered. The lab test results of molluscus sample are input to the system. Ontology reasoners check whether the test results satisfy the criteria according to the test specifications of molluscus, expressed in SWRL and display appropriate messages. An individual OWL (web ontology language) file is automatically created for each instance of the sample tested.