Modeling of seafood domain using ontology

Vinu Sherimon, Sherimon P.C., Alaa Ismaeel, Winny Varkey, Naveen B.


Ensuring food quality has increasingly become an important issue nowadays and is the first step to get attention to countries seafood products. People pay more care to intrinsic quality including nutritional value, fresh degree, and toxic harmful substance content in all the products they consume. Food processing industries employ different quality control systems to check the quality of the seafood.  Specific guidelines are also followed as per the country of seafood export. Most of these guidelines are still paper-based and lab technologists often refers these manuals and documents to ensure the standards. This research presents the development of on ontology to represent the concepts of different quality tests used to ensure the quality in seafood domain. It provides taxonomic information on the type of tests, standard values and classify the seafood into accepted and rejected classes. Here, the different steps involved in the development process of this ontology is explained along with classes, its properties and instances. We concentrate on five types of seafood and the case study is conducted in Oman. Protégé which is an open source platform, is the main tool used to implement the ontology. The developed ontology supports the lab technologists in knowledge discovery and information retrieval.

Full Text:



Jensen, Ida-Johanne. "Health benefits of seafood consumption-with special focus on household preparations and bioactivity in animal models." (2014). (Accessed on August 03, 2020)

Noy, Natalya F., and Deborah L. McGuinness. "Ontology development 101: A guide to creating your first Ontology." (2001).

Vinu, P. V., P. C. Sherimon, and Reshmy Krishnan. "Modeling of Test Specifications of Raw Materials in Seafood Ontology using Semantic Web Rule Language (SWRL)." Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015). 2015. (Accessed on August 03, 2020)

Vinu, P. V., P. C. Sherimon, and K. Reshmy. "Development of seafood ontology for semantically enhanced information retrieval." International Journal of Computer Engineering and Technology, IJCET (2012).

Vinu, P. V., P. C. Sherimon, and Reshmy Krishnan. "Development of Ontology for Seafood Quality Assurance System." Journal of Convergence Information Technology 9.1 (2014): 25.

Vinu, P. V., P. C. Sherimon, and K. Reshmy. "Knowledge-Base Driven Framework for Assuring the Quality of Marine Seafood Export." Int J Artif Intell Knowl Discov 2.3 (2013): 6-10.

Cai, Zhi, Kangkai Shi, and Hongli Yang. "A novel visualization for ontologies of semantic Web representation." International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2015.

Ramakrishnan, Sivakumar, and Arivoli Vijayan. "A study on development of cognitive support features in recent ontology visualization tools." Artificial Intelligence Review 41.4 (2014): 595-623.

Dudáš, Marek, Ondřej Zamazal, and Vojtěch Svátek. "Roadmapping and navigating in the ontology visualization landscape." International Conference on Knowledge Engineering and Knowledge Management. Springer, Cham, 2014.

Kremen, Petr, and Evren Sirin. "SPARQL-DL Implementation Experience." OWLED (Spring). 2008.


  • There are currently no refbacks.

Abava  Кибербезопасность MoNeTec 2024

ISSN: 2307-8162