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An Ontology-Based Information Retrieval Model for Domesticated Plants

Ruban S, Kedar Tendolkar, Austin Peter Rodrigues, Niriksha Shetty

Search engines have become part and parcel of human life. Though search engines have experienced many changes from past few years. It still relies on keyword based techniques. With the rapid increment of the information on the web, traditional information retrieval based on the keywords is far from user’s satisfaction in recall and precision. In order to improve the accuracy of retrieval in the domain of domesticated plants, an information retrieval model based on the domesticated plants ontology is constructed using protégé. The key purpose of semantic web and ontology is to incorporate heterogeneous data and enable interoperability among distinct systems. Ontologies provide lexical items, allow conceptual normalization and provide different types of relations. The domesticated plants ontology is constructed by gathering and analysing domesticated plants domain information from the web. This ontology is used to create an information retrieval system which facilitates context based search thus replacing the keyword based search. In this paper we have presented the methodology by which the ontology is created and also have shown the experiments that was conducted to prove its performance is better than the traditional keyword based that is being used right now.