TY  - JOUR
AU  - Jindal, Dr. Rajni 
AU  - Singhal, Alka 
PY  - 2017
TI  - Performance Analysis for the Ontology based Intelligent Information Retrieval using Non Monotonic Inference Logic using SPARQL
JF  - Journal of Computer Science
VL  - 13
IS  - 12
DO  - 10.3844/jcssp.2017.694.701
UR  - https://thescipub.com/abstract/jcssp.2017.694.701
AB  - The paper proposes a model for the information retrieval system (E-library) for the learner, based on his current requirements and scenario. It follows a brokerage model using non monotonic logic utilizing semantics and ontology for object description. Ontology captures the learning object properties which can help in eliminating and evaluating the usefulness of the object for a given learner. Non monotonic logic helps in inferring the current usefulness of the learning object with current requirement and rules. It will vary the results with time and person. Therefore, it can provide better user oriented search.