Modeling of food technology knowledge base information system using semantic web technologies

Abstract

The impact of knowledge explosion in various fields during the recent years has resulted in creation of vast amount of scientific literature. Food Science &Technology (FST) is also an important subject domain where rapid developments are taking place due to large and diverse research and development activities. Due to these, information storage and retrieval has become very complex and current information retrieval systems (IRs) are constrained in achieving a high precision with good response time. To overcome these constraints as well as provide natural language based effective context based retrieval mechanism, a knowledge engineering framework need to be applied to represent, share and discover information. Semantic web technologies provides the mechanism for creating knowledge based systems, ontologies and rules for handling the data, ultimately results in intelligent information retrieval. Ontologies are the backbone of these types of knowledge systems. Ontology is a knowledge represented on the basis of conceptualization that intends a description of object and concept sets and relations between them. The set of objects, and the description of relationship among them, reflected the representational vocabulary with which a knowledge-based program knowledge.