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An Ontology Based Approach for Information Retrieval in Agriculture

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dc.contributor.author Roy, Naba Ranjan
dc.contributor.author Masud, Abdullah Al
dc.date.accessioned 2020-12-13T11:13:27Z
dc.date.available 2020-12-13T11:13:27Z
dc.date.issued 2020-10-19
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5372
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Information Retrieval System en_US
dc.subject Agricultural Information en_US
dc.title An Ontology Based Approach for Information Retrieval in Agriculture en_US
dc.type Other en_US

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