Pubblicazione scientifica

ONTO SQAM - A Model for Analyzing Seafood Quality Based on Ontology

FILONE TECNOLOGICO	TEMA
produzione e cattura
trasformazione e commercializzazione

RIASSUNTO

One of the most precious exporting sectors in the Indian economy is the seafood industry. Sustained measures to ensure the quality of export materials are very critical to further increase the growth in seafood export. To ensure the overall quality of seafood, a knowledge-based system entitled ‘Ontology Based Quality Analyzer and Miner (ONTO SQAM) is developed. Ontologies are used to represent the seafood domain. Different algorithms are suggested for analysis, mining, and prediction to ensure the seafood quality. The key features of the model are the development of algorithms to generate frequent patterns of quality seafood and to predict the success rates of seafood based on the catching center. Indian Seafood industry is taken as the case study in this research. This paper presents only the architecture of the system. The implementation of the model will be discussed in an extended version of this paper.

DATA

Data di pubblicazione: 01/11/2018

AUTORI

VINU SHERIMON
PC SHERIMON

ENTE DI AFFERENZA

DEPT IT HIGHER COLLEGE OF TECH MUSCAT SULTANATE OF OMAN
FACULTY OF COMPUTER STUDIES ARAB OPEN UNIV MUSCAT SULTANATE OF OMAN

RIVISTA

2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (Page(s): 1-6)

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