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Knowledge Understanding and Advanced Searching


Affiliations
1 Department of Computer Science, Thiruvalluvar University, India
2 Vikiinformatic School of Computing and Soft Skills, India
3 Department of Computer Science, Government College of Engineering, Tirunelveli, India
     

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It's a comprehensive fact that millions of people around the world surf the Internet for want of answers for their questions. Generally, the questions are asked in the form of Searching or direct questions which follow perfect ontological directions. It is important that the system understands the questions in the right sense and can provide the best answer for all the questions raised in the web forum. One such pragmatic method is required which is expected to provide optimum solution to achieve best answers for questions that not only percepts language but also follows perfect ontological information in accordance with the cyber law. This Proposed Model presents a new dynamic model called Knowledge Understanding and Advance Searching (KUAS) that studies the importance of Smart Question Answering with other question answering engines like START and proves to give the optimal solution compared to them.

Keywords

Knowledge Understanding, Advanced Searching, Ontological Information, Optimal Searching Technique.
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  • Thomas H. Davenport, “Saving IT’s Soul: Human Centered Information Management”, Harvard Business Review, Vol. 72, No. 2, pp. 119-131, 1994.
  • Tom Gruber, “What is an Ontology?”, Stanford University, Retrieved 2009-11-09. Available at: http://www-ksl.stanford.edu/kst/what-is-an-ontology.html
  • Cody Kwok, Oren Etzioni and Daniel S. Weld, “Scaling Question Answering to the Web”, ACM Transactions on Information Systems, Vol. 19, No. 3, pp. 242-262, 2001.
  • Shanshan Zhao, Yuqing Zheng, Conghui Zhu, Tiejun Zhao and Sheng Li, “Semantic Computation in Geography Question Answering”, Proceedings of 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, pp. 1572-1576, 2016.
  • Sean Gallagher and Wlodek Zadrozny, “Leveraging Large Corpora using Internet Search for Question Answering”, Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence, pp. 532-535, 2016.
  • P.M. Athira, M. Sreeja and P.C. Reghuraj, “Architecture of an Ontology-based Domain-Specific Natural Language Question Answering System”, International Journal of Web and Semantic Technology, Vol. 4, No. 4, pp. 31-39, 2013.
  • Nguyen Tuan Dang, Do Thi and Thanh Tuyen, “Natural Language Question Answering Model Applied to Document Retrieval System”, World Academy of Science, Engineering and Technology, Vol. 51, pp. 36-39, 2009.
  • Abhijit Kumar and Lavit Rawtani, “Question Answering System using Artificial Intelligence and Fuzzy System”, MES Journal of Technology and Management, pp. 12-15, 2011.
  • David Gunning, Vinay K. Chaudhri and Chris Welty, “Introduction to the Special Issue on Question Answering”, Association for the Advancement of Artificial Intelligence, pp. 11-12, 2010.
  • L. Hirschman and R. Gaizauskas, “Natural Language Question Answering: The View From Here”, Natural Language Engineering, Vol. 7, No. 4, pp. 275-300, 2001.
  • Zhengyou Zhang, “Autonomous Mental Development: A New Interdisciplinary Transactions for Natural and Artificial Intelligence”, IEEE Transactions on Autonomous Mental Development, Vol. 1, No. 1, pp. 1-11, 2009.
  • R. Vidya and G.M. Nasira, “Exploring Clinical Reasoning in Novices: Knowledge Sharing System between Social Media and Medical Professionalism”, Data Mining and Knowledge Engineering, Vol. 6, No. 9, pp. 349-353, 2014.

Abstract Views: 202

PDF Views: 2




  • Knowledge Understanding and Advanced Searching

Abstract Views: 202  |  PDF Views: 2

Authors

R. Vidya
Department of Computer Science, Thiruvalluvar University, India
D. Vigneshwara Raj
Vikiinformatic School of Computing and Soft Skills, India
K. Sujatha
Department of Computer Science, Government College of Engineering, Tirunelveli, India

Abstract


It's a comprehensive fact that millions of people around the world surf the Internet for want of answers for their questions. Generally, the questions are asked in the form of Searching or direct questions which follow perfect ontological directions. It is important that the system understands the questions in the right sense and can provide the best answer for all the questions raised in the web forum. One such pragmatic method is required which is expected to provide optimum solution to achieve best answers for questions that not only percepts language but also follows perfect ontological information in accordance with the cyber law. This Proposed Model presents a new dynamic model called Knowledge Understanding and Advance Searching (KUAS) that studies the importance of Smart Question Answering with other question answering engines like START and proves to give the optimal solution compared to them.

Keywords


Knowledge Understanding, Advanced Searching, Ontological Information, Optimal Searching Technique.

References