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    Publisher: Academic Journals Inc., USA
   
  Research Journal of Information Technology is positioned to publish high quality research papers that reflect global information technology advances. Scope of the journal includes: Strategy, change, infrastructure, human resources, sourcing, system development and implementation, communications, Software engineering, formal methods and business process management, technology developments, technology futures, national policies and standards.

Research Journal of Information Technology now accepting new submissions. Submit your best paper via online submission system.
  Editor-in-Chief:  David Chek Ling Ngo
 
 
Krishnan, R., A. Hussain and P.C. Sherimon, 2012. Retrieval of Semantic Concepts Based on Analysis of Texts for Automatic Construction of Ontology. In: Neural Information Processing, Lectur +e Notes in Computer Science. Huang, T., Z. Zeng, Ch. Li and C.S. Leung, (Ed.). Springer, Hong Kong, pp 524-532.
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Krishnan, R., A. Hussain and P.C. Sherimon, 2013. Conceptual Clustering of Documents for Automatic Ontology Generation. In: Advances in Brain Inspired Cognitive Systems, Lecture Notes in Computer Science Liu, D., C. Alippi, D. Zhao and A. Hussain,, (Ed.). Springer, Germany Heidelberg, pp 235-244.
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Reshmy, K.R. and S.K. Srivatsa, 2005. Automatic ontology generation for semantic search system using data mining techniques. Asia J. Inform. Technol., 4: 1187-1194.
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Reshmy, K.R., S.K. Srivatsa and A. Ramakrishna, 2005. Implementation of frequent sub graph discovery. WSEAS Trans. Inform. Sci. Appl., 3: 651-655.
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Reshmy, K.R., S.K. Srivatsa and B. Surendrababu, 2006. Automatic incremental view maintenance in schema SQL. Inform. Technol. J., 5: 314-321.
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Reshmy, K.R., S.K. Srivatsa and R. Mohammed, 2005. Semantic retrieval of heterogeneous data. Asia J. Inform. Technol., 4: 1159-1169.
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Sheeba, T. and R. Krishnan, 2015. Semantic retrieval based on SPARQL and SWRL for learner profile. Int. J. Appl. Eng. Res., 10: 34549-34554.
Sheeba, T., R. Krishnan and M.J. Bernard, 2012. An Ontology in Project Management Knowledge Domain. Int. J. Comput. Appl., 56: 1-7.
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Sherimon, P.C., P.V. Vinu and R. Krishnan, 2011. Development Phases of Ontology for an Intelligent Search System for Oman National Transport Company. Int. J. Res. Rev. Artif. Intell., 1: 97-101.
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Sherimon, P.C., P.V. Vinu, R. Krishnan and Y. Saad, 2014. Ontology Driven Analysis And Prediction of Patient Risk in Diabetes. Can. J. Pure Appl. Sci., 8: 3043-3050.
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Sherimon, P.C., P.V. Vinu, R. Krishnan and Y. Takroni, 2013. Exhibiting Context Sensitive Behavior in Gathering Patient Medical History in Diabetes Domain using Ontology. Int. J. Advancements Comput. Technol., 5: 41-47.
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Sherimon, P.C., P.V. Vinu, R. Krishnan and Y. Takroni, 2013. Ontology Based System Architecture to Predict the Risk of Hypertension in Related Diseases. Int. J. Inf. Process. Manage., 4: 44-50.
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Sherimon, P.C., R. Krishnan and P.V. Vinu, 2012. Effective Enabling of Sharing and Reuse of Knowledge On Semantic Web by Ontology in Date Fruit Model. Int. J. Compu. Sci., .
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Vinu, P.V., 2012. Development of Seafood Ontology for Semantically enhanced Information Retrieval. Int. J. Comput. Eng. Technol., 3: 154-162.
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Vinu, P.V., 2012. Knowledge - Base Driven Framework for Assuring the Quality of Marine Seafood Export. Int. J. Artif. Intell. Knowledge Discovery, 2: 6-10.
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Vinu, P.V., P.C. Sherimon and R. Krishnan, 2014. Development of Ontology for Seafood Quality Assurance System J. Convergence Inf. Technol., 9: 25-32.
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Vinu, P.V., P.C. Sherimon and R.K. Krishnan, 2014. Ontology Construction and Reasoning using OWL: A case study from Seafood Domain. Can. J. Pure Appl. Sci., 8: 2979-2984.
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Vinu, P.V., P.C. Sherimon, R. Krishnan and Y.S. Takroni, 2014. Pattern Representation Model for N-ary Relations in Ontology. J. Theor. Appl. Inf. Technol., 60: 231-236.
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