Skip to main content
SpringerLink
Log in

THE GREAT MIGRATION: INFORMATION CONTENT TO KNOWLEDGE USING COGNITION BASED FRAMEWORKS

  • Conference paper
  • First Online:
Biomedical Engineering

Abstract

Research shows that generating new knowledge is accomplished via natural human means: mental insights, scientific inquiry process, sensing, actions, and experiences, while context is information, which characterizes the knowledge and gives it meaning. This knowledge is acquired via scientific research requiring the focused development of an established set of criteria, approaches, designs, and analysis, as inputs into potential solutions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. I. A. Nonaka and H. A. Takeuchi, The knowledge-creating company: How Japanese companies create the dynamics of innovation: Oxford university press, 1995.

    Google Scholar 

  2. I. Nonaka, "A dynamic theory of organizational knowledge creation," The Strategic Management of Intellectual Capital and Organizational Knowledge, 2002.

    Google Scholar 

  3. M. Polanyi and A. Sen, The tacit dimension: University of Chicago Press, 2009.

    Google Scholar 

  4. L. Zadeh, "A note on web intelligence, world knowledge and fuzzy logic," Data & Knowledge Engineering, vol. 50, pp. 291-304, 2004.

    Article  Google Scholar 

  5. M. M. Tanik and A. Ertas, "Interdisciplinary design and process science: A discourse on scientific method for the integration age," Journal of Integrated Design and Process Science, vol. 1, pp. 76-94, 1997.

    Google Scholar 

  6. S. Kim, E. Suh, and H. Hwang, "Building the knowledge map: An industrial case study," Journal of Knowledge Management, vol. 7, 2003.

    Google Scholar 

  7. J. C. Spender, "Making knowledge the basis of a dynamic theory of the firm," Strategic management journal, vol. 17, pp. 45-62, 1996.

    Google Scholar 

  8. T. Gruber, "Collective knowledge systems: Where the social web meets the semantic web," Web Semantics: Science, Services and Agents on the World Wide Web, vol. 6, pp. 4-13, 2008.

    Article  Google Scholar 

  9. L. Brillouin, Science and information theory: Dover, 2004.

    Google Scholar 

  10. P. Dourish, Where the action is: The foundations of embodied interaction: The MIT Press, 2004.

    Google Scholar 

  11. P. Dourish, "What we talk about when we talk about context," Personal and ubiquitous computing, vol. 8, pp. 19-30, 2004.

    Article  Google Scholar 

  12. A. Torralba, "Contextual priming for object detection," International Journal of Computer Vision, vol. 53, pp. 169-191, 2003.

    Article  Google Scholar 

  13. A. K. Dey, "Understanding and using context," Personal and ubiquitous computing, vol. 5, pp. 4-7, 2001. [14] J. Coutaz, J. Crowley, S. Dobson, and D. Garlan, "Context is key," Communications of the ACM, vol. 48, pp. 53, 2005.

    Google Scholar 

  14. J. Coutaz, J. Crowley, S. Dobson, and D. Garlan, "Context is key," Communications of the ACM, vol. 48, pp. 53, 2005.

    Article  Google Scholar 

  15. C. Graham and J. Kjeldskov, "Indexical representations for context-aware mobile devices," 2003, pp. 3-6.

    Google Scholar 

  16. T. Winograd, "Architectures for context," Human-Computer Interaction, vol. 16, pp. 401-419, 2001.

    Article  Google Scholar 

  17. J. I. Hong and J. A. Landay, "An infrastructure approach to context-aware computing," Human-Computer Interaction, vol. 16, pp. 287-303, 2001.

    Article  Google Scholar 

  18. N. Howard and A. Qusaibaty, "Network-centric information policy," in The Second International Conference on Informatics and Systems, 2004.

    Google Scholar 

  19. D. Ejigu, M. Scuturici, and L. Brunie, "Hybrid approach to collaborative context-aware service platform for pervasive computing," Journal of computers, vol. 3, pp. 40, 2008.

    Google Scholar 

  20. A. Newell, J. C. Shaw, and H. A. Simon, "Preliminary description of general problem solving program-i (gps-i)," WP7, Carnegie Institute of Technology, Pittsburgh, PA, 1957.

    Google Scholar 

  21. H. A. Simon, "Modeling human mental processes," in Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference. Los Angeles, California: ACM, 1961.

    Google Scholar 

  22. S. Sternberg, "High-speed scanning in human memory," Science, vol. 153, pp. 652-4, 1966.

    Article  Google Scholar 

  23. J. Rowley and R. Hartley, Organizing knowledge: An introduction to managing access to information: Ashgate Pub Co, 2008.

    Google Scholar 

  24. G. Booch, Object-oriented analysis and design. New York: Addison-Wesley, 1996.

    Google Scholar 

  25. J. Rumbaugh, M. Blaha, W. Premerlani, F. Eddy, and W. Lorensen, Object-oriented modeling and design: Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 1991.

    Google Scholar 

  26. D. Engelbart, "A conceptual framework for the augmentation of man’s intellect," Computer-supported cooperative work: A book of readings, pp. 36-65, 1988.

    Google Scholar 

  27. M. Van Ittersum, F. Ewert, T. Heckelei, J. Wery, J. Alkan Olsson, E. Andersen, I. Bezlepkina, F. Brouwer, M. Donatelli, and G. Flichman, "Integrated assessment of agricultural systems–a component-based framework for the european union (seamless)," Agricultural Systems, vol. 96, pp. 150-165, 2008.

    Article  Google Scholar 

  28. W. M. K. Trochim, "An introduction to concept mapping for planning and evaluation," CONCEPT MAPPING FOR EVALUATION AND PLANNING, vol. 12, pp. 1-16, 1989.

    Article  Google Scholar 

  29. M. Davison, "Multidimensional scaling," New York, 1983.

    Google Scholar 

  30. B. Everitt, "Unresolved problems in cluster analysis," Biometrics, vol. 35, pp. 169-181, 1979.

    Article  MATH  Google Scholar 

  31. N. Deo, Graph theory with applications to engineering and computer science: PHI Learning Pvt. Ltd., 2004.

    Google Scholar 

  32. M. Ali, "Metrics for requirements engineering," UMEA University, 2006.

    Google Scholar 

  33. J. Rumbaugh, I. Jacobson, and G. Booch, Unified modeling language reference manual, the: Pearson Higher Education, 2004.

    Google Scholar 

  34. D. Beckett and B. McBride, "Rdf/xml syntax specification (revised)," W3C Recommendation, vol. 10, 2004.

    Google Scholar 

  35. D. L. McGuinness and F. Van Harmelen, "Owl web ontology language overview," W3C Recommendation, vol. 10, pp. 2004-03, 2004.

    Google Scholar 

  36. S. Polyn and M. Kahana, "Memory search and the neural representation of context," Trends in Cognitive Sciences, vol. 12, pp. 24-30, 2008.

    Article  Google Scholar 

  37. M. Howard and M. Kahana, "A distributed representation of temporal context," Journal of Mathematical Psychology, vol. 46, pp. 269-299, 2002.

    Article  MathSciNet  MATH  Google Scholar 

  38. N. Konstantinou, D. Spanos, and N. Mitrou, "Ontology and database mapping: A survey of current implementations and future directions," Journal of Web Engineering, vol. 7, pp. 001-024, 2008.

    Google Scholar 

  39. A. Zouaq, R. Nkambou, and C. Frasson, "An integrated approach for automatic aggregation of learning knowledge objects," Interdisciplinary Journal of Knowledge and Learning Objects, vol. 3, pp. 135-162, 2007.

    Google Scholar 

  40. J. Novak and A. Cañas, "The theory underlying concept maps and how to construct and use them," Florida Institute for Human and Machine Cognition Pensacola Fl, www.ihmc.us. [http://cmap.ihmc.us/Publications/ResearchPapers/TheoryCmaps/TheoryUnderlyingConceptMaps.htm], 2008.

  41. S. S. Liao, J. W. He, and T. H. Tang, "A framework for context information management," Journal of Information Science, vol. 30, pp. 528-539, 2004.

    Article  Google Scholar 

  42. A. K. Gupta and V. Govindarajan, "Knowledge flows within multinational corporations," Strategic management journal, vol. 21, pp. 473-496, 2000.

    Article  Google Scholar 

  43. M. Pinto, "A grounded theory on abstracts quality: Weighting variables and attributes," Scientometrics, vol. 69, pp. 213-226, 2006.

    Article  Google Scholar 

  44. N. Suh, "Application of axiomatic design to engineering collaboration and negotiation," in 4th International Conference on Axiomatic Design, Firenze, 2006.

    Google Scholar 

  45. J. Llinas, C. Bowman, G. Rogova, A. Steinberg, E. Waltz, and F. White, "Revisiting the jdl data fusion model ii," 2004.

    Google Scholar 

  46. J. Anderson, Cognitive psychology and its implications: John r. Anderson: Worth Pub, 2004.

    Google Scholar 

  47. D. Ausubel, J. Novak, and H. Hanesian, Educational psychology: A cognitive view: Holt Rinehart and Winston, 1978.

    Google Scholar 

  48. J. Habermas, "Knowledge and human interests: A general perspective," Continental philosophy of science, pp. 310, 2005.

    Google Scholar 

  49. A. Ertas, D. Tate, M. M. Tanik, and T. T. Maxwell, "Foundations for a transdisciplinary systems research based on design & process," The ATLAS Publishing, vol. TAM–Vol.2, pp. 1-37, 2006.

    Google Scholar 

  50. R. C. Hibbeler, Engineering mechanics: Dynamics: Prentice Hall, 2009.

    Google Scholar 

  51. J. R. Anderson, Cognitive psychology and its implications: John r. Anderson: Worth Pub, 2004.

    Google Scholar 

  52. N. P. Suh, Complexity: Theory and applications: Oxford University Press, USA, 2005.

    Google Scholar 

  53. A. S. Herbert, "Modeling human mental processes," in Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference. Los Angeles, California: ACM, 1961.

    Google Scholar 

  54. J. Hartman and N. Tippery, "Systematic quantification of gene interactions by phenotypic array analysis," GENOME BIOLOGY, vol. 5, 2004.

    Google Scholar 

  55. S. Pei and I. Tam, "Effective color interpolation in ccd color filter arrays using signal correlation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, pp. 503-513, 2003.

    Article  Google Scholar 

  56. D. Stokols, "Toward a science of transdisciplinary action research," American journal of community psychology, vol. 38, pp. 63-77, 2006.

    Article  Google Scholar 

  57. Crowder, J., “Artificial Emotions and Emotional,” Proceedings of the International Conference on Artificial Intelligence, ICAI’10, Las Vegas, 2010.

    Google Scholar 

  58. Levine, P., “Walking the Tiger: Healing Trauma.” North Atlantic Books, Berkeley, CA, 1997.

    Google Scholar 

  59. Eichenbaum H, “The cognitive neuroscience of memory.” New York: Oxford University Press, 2002.

    Book  Google Scholar 

  60. Crowder, J., Barth, T., and Rouch, R., “Learning Algorithms for Stochastically Driven Fuzzy, Genetic Neural Networks.” NSA Technical Paper, 1999.

    Google Scholar 

  61. Crowder, J., Barth, T., and Rouch, R., “Neural Associative Memory for Storing Complex Memory Patterns.” NSA Technical Paper, 1999.

    Google Scholar 

  62. Crowder, J. A., “Integrating an Expert System into a Neural Network with Genetic Programming for Process Planning.”  NSA Technical Paper, 2001.

    Google Scholar 

  63. Crowder, J., Barth, T., and Rouch, R., “Evolutionary Neural Infrastructure with Genetic Memory Algorithms: ENIGMA Theory Development.” NSA Technical Paper, 1999.

    Google Scholar 

  64. Newell, A., “Unified Theories of Cognition.” Cambridge MA: Harvard University Press 2003.

    Google Scholar 

  65. Crowder, J., “Anti-Terrorism Learning Advisory System: Operative Information Software Agents (OISA) for Intelligence Processing” Proceedings of the American Institute of Aeronautics and Astronautics Conference (Infotech@aerospace 2010) Atlanta, GA, 2010.

    Google Scholar 

  66. Crowder, J. A., “Machine Learning: Intuition (Concept) Learning in Hybrid Genetic/Fuzzy/Neural Systems.” NSA Technical Paper, 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dallas, TX, USA

    John N. Carbone

Authors
  1. John N. Carbone
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. James A. Crowder
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to John N. Carbone .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Texas A&M University - Commerce, Commerce, 75429, Texas, USA

    Sang C. Suh

  2. at Birmingham, Department of Neurology, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Varadraj P. Gurupur

  3. at Birmingham, Department of Electrical, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Murat M. Tanik

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this paper

Cite this paper

Carbone, J.N., Crowder, J.A. (2011). THE GREAT MIGRATION: INFORMATION CONTENT TO KNOWLEDGE USING COGNITION BASED FRAMEWORKS. In: Suh, S., Gurupur, V., Tanik, M. (eds) Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0116-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-0116-2_2

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-0115-5

  • Online ISBN: 978-1-4614-0116-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation