Performance evaluation of ontology based Information Retrieval
Vijaypal Singh Dhaka, Aditi Sharma · 2014
Main objective of this paper is to achieve personalization of information retrieval activities. Personalised retrieval effectiveness is defined in terms of retrieving relevant documents and not retrieving non- relevant documents. Two traditional factors of measuring effectiveness are Recall and Precision are focused upon. Based on these two factors the effective performance of Ontology based retrieval is evaluated. The IR systems rank documents based on estimation of the usefulness of a document for a user query. The technique that has been shown to be effective in improving document ranking is query modification via relevance feedback. A state-of-the-art ranking system uses an effective weighting scheme in combination with a good query expansion technique. 2. Relevance Feedback