About the Book
The process of Knowledge Management involves an organizations identification, creation, management, and delivery of information in order to enhance workforce performance. It is a discipline that promotes a holistic approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprises information assets. These assets may include databases, documents, policies, procedures, and the expertise and experience of individual workers. The book Knowledge Management: Fundamentals, Tools, and Techniques covers these issues in thirty-three chapters, which are broadly divided into five sections. These sections include 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, and 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 Knowledge Management strategies and the application of theoretical concepts to real-world situations. The book begins with an introduction to the concepts and principles of Knowledge Management, starting with the basics of data, information, knowledge, and wisdom. It also clarifies the differences between Explicit, Implicit, and Tacit Knowledge. The book covers traditional Knowledge Management approaches as well as emerging topics such as cloud computing, Semantic Web, Rough Computing, Fuzzy logic, Artificial intelligence, Machine learning, social networks, and Tools and Techniques for Geo Spatial Data Knowledge Discovery. The book focuses on how Knowledge Management impacts organizations and individuals and provides steps that should be taken to maximize benefits, including directions for how to select, develop, and evaluate Knowledge Management systems.
Table of Contents:
- 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 Chandrabose 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. Data mining 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 DiseasesP. Mercy Nesa Rani and T. Rajesh
- 24. ICT a Powerful Tool for Accessing and Sharing Information Resources andKnowledge in Fisheries Sector-An Overview Ranendra 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
About the Author :
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.
