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Knowledge Management is the process by which an organization identifies, creates, manages and delivers information to enhance workforce performance.KM is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience in individual workers. All these issues are covered in thirty three s in the book broadly divided into the following five sections. Fundamentals of Knowledge Management, Latest Tools and Techniques for Knowledge Management, Databases, Data mining, Knowledge Discovery in Biotechnology and Bioinformatics, Data mining and Knowledge Discovery in Agriculture and Allied Fields, Indigenous Knowledge Protection and IPR Issues The book contains original research and case studies by academic and research contributors on strategies, tools, techniques and technologies for Knowledge Management. The focus of this book is on the identification of innovative KM strategies and the application of theoretical concepts to real-world situations. This first serves as a complete introduction to the concepts and principles of KM, starting with basics of data, information, knowledge and wisdom. Clarified differences among Explicit, Implicit and Tacit Knowledge. The book also covers traditional KM approaches as well as emerging topics such as cloud computing, Semantic Web, Rough Computing, Fuzzy logic, Artificial intelligence, Machine learning, social networks, Tools and Techniques for Geo Spatial Data Knowledge Discovery. The focus of the book is on how KM impacts organizations and individuals and steps that should be taken to maximize benefits, including directions for how to select, develop, and evaluate KM systems.
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Dr. Ajit Kumar Roy: ARS-ICAR (1976), Head, Social Science Section, Central Institute of Freshwater Aquaculture CIFA, ICAR, Bhubaneswar. As coordinator of BTIS Project engaged in development of the informatics based infrastructure of Bioinformatics Centre on Aquaculture at CIFA, Bhubaneswar. He worked as a consultant (Statistics), College of Fisheries, Central Agricultural University, Lembucherra, Agartala till 1st February, 2013.
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No eChapter available for this eBook
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Section 1. Fundamentals of Knowledge Management: 01. Data, Information, Knowledge and Wisdom K. Alivelu, C.Sarada, P.Madhuri, G.D.Satish Kumar, M.Padmaiah, P.Lakshmamma and P.Padmavathi 02. Knowledge Management and the Changing Need of IT Applications Rabi N Subudhi 03. Trends of Knowledge Management Practices Ajit Kumar Roy Section 2. Latest Tools and Techniques for Knowledge Management: 04. Cloud Computing Technologies and its Applications in Bioinformatics M.Balakrishnan and S.K.Soam 05. Applications of Fuzzy Logic in Knowledge Management Piyush Kant Rai 06. Knowledge Management using Semantic Web R. Nagarjuna Kumar, B.Sailaja, G.R.Maruthi Sankar and G.Ravindra Chary 07. Rough Computing Based Information Retrieval in Knowledge Discovery Databases D. P. Acharjya 08. Machine Learning Techniques and Its Application in Bioinformatics . D. C. Mishra, Sudhir Srivastava, Sanjeev Kumar and Anil Rai 09. Tools and Techniques for Geo Spatial Data Knowledge Discove.ry M. Jayanthi, R. Yoganandhan, G. Nagaraj 10. Predictive Toxicology- A Machine Learning Approach Ankur Omer, R.K. Singh, Selvaraj. C, Sanjeev Kumar Singh, Poonam Singh 11. Tilling and Ecotilling: A Reverse Genomic Approach for Knowledge Management to Convert Nucleotide Information into Gene Function Mamta Singh & Anindya Sundar Barman 12. Advances in Fusion Techniques of Thermal Infrared and Optical Images for Human Face Recognition Mrinal Kanti Bhowmik, Kankan Saha, Goutam Majumder, Debotosh Bhattacharjee, Dipak Kumar Basu and Mita Nasipuri 13. A Review on Usage of Gadgets in Indian Education Sector – A Way Forward to More Effective Education Delivery Subhabaha Pal Section 3. Database, Datamining, Knowledge Discovery in Biotechnology and Bioinformation: 14. Databases, Data Warehousing, Data Mining and Knowledge Discovery P.Madhuri, K.Alivelu, S.V.Ramana Rao, M.Padmaiah and C. Sarada 15. Data Mining from Biological Databases Anindya Sundar Barman & Mamta Singh 16. CAVD-Computer Aided Vaccine Design: Prevention is Better than Cure C handrabose Selvaraj and Sanjeev Kumar Singh 17. Protein Structure Prediction: Methodology and Resources N. S. Nagpure, Arunima Kumar Verma, Shri Prakash Singh, Ajey Kumar Pathak, Shivesh Pratap Singh, Uttam Kumar Sarkar and Mahender Singh 18. Protein-Protein Interactions: Computational Tools and Methods Karnati Konda Reddy and Sanjeev Kumar Singh 19. Protein Structure Prediction and Visualization Sunil Kumar Tripathi and Sanjeev Kumar Singh 20. Information Technology - Data Mining to Knowledge Discovery Snehasish Mishra, Sukanta Ku. Pradhan and Rajanikanta Mohapatra Section 4. Datamining and Knowledge Discovery in Agriculture and Allied Fields: 21. Role of Statistics in Knowledge Discovery Databases Ravi R Saxena, Sushil Kumar Mawle and Ritu R Saxena 22. Strategies for Knowledge Management in Agriculture Domain P. Dey, S.S. Hasan, and Sanjeev Kumar 23. Role of Expert System Technology in Agriculture to Diagnose Plant Diseases P. Mercy Nesa Rani and T. Rajesh 24. ICT a Powerful Tool for Accessing and Sharing Information Resources and Knowledge in Fisheries Sector-An OverviewRanendra Kumar Majumdar 25. Databases and Informational Resource Systems on Fish Genetic Resources of India: Pivotal contribution by NBFGR, Lucknow A K Pathak, S P Singh, U K Sarkar, Rajesh Dayal, Reeta Chaturvedi and Ravi Kumar 26. Application of Tacit Knowledge in Sensory Evaluation Studies on Fish and Fishery Products Bahni Dhar 27. Success Story of Knowledge Transfer through Fish Based Technology Adoption under N A IP (Component 3) in Dhalai District of Tripura Ratan K. Saha and Dilip Nath 28. Mining Genetic Data on Muga Silk Worm Diversity : A Comparative Study of Differences Inferred from Morphology and DNA Marker Sourabh Kumar Das, Alo Saha, Dolly Deka, Pallwabee Duarah, Sangeeta Borchetia, Nilave Bhuyan Section 5. Indigenous Knowledge : Protection and IPR Issues: 29. Indigenous Knowledge Systems: Perception, Documentation and Threat Amitava Rakshit, Sumita Pal and Rajib Karmakar 30. Customary Laws and Practices: An Approach to Manage Indigenous and Traditional Knowledge Shailesh K. Tiwari and Kumar Ajitabh 31. Intellectual Property Rights : Concepts and Application in Agriculture S.Saha, M. Loganathan, R. Garg and A. B. Rai 32. Indigenous Knowledge Base and Its Protection through Intellectual Property Rights: Issues and Strategies Biswarup Saha and P. K. Pal
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