An Ontology Based Approach for Information Retrieval in Agriculture

Abstract

A large number of text documents have been found on the web for a different subject that contains specific information of a particular concept. These documents are in the form of heterogeneous nature that make the difficult task to find information from there that user need. Now it becomes a challenging task to find relevant information from this type of source. In order to solve this problem to get relevant information according to the user query, we introduce an approach in the information retrieval field which is based on ontology. Here we use ontology concept for knowledge representation in our model which organize information in such a way that helps improve retrieval task. This technique not only helps us to solve the heterogeneous problem of information source but also help us to retrieve semantically related information that is the user's expectation. In this approach, we divide the documents into different classes according to their concept matching with a class. Then we find out contextually related feature words from each document which give us metadata for these documents and used for indexing. So when a user asked a query, first of all, find out the query's class then matching the query with the document's metadata, and the highest-scoring document shows it to the user. Our approach has been tested by agriculture domain ontology which gives us a better result.