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Semantic Cognition and the Ontological to Epistemic Transformation: Using Technologies to Facilitate Understanding

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Abstract

To appreciate the science of semantics and the implications of semantic technologies, it is important to understand the capacity of the human mind to create meaning. Human cognition and perception lay at the heart of the semantic wave of technological developments. One of the reasons why semantic and Web 3.0 technologies are important to human performance is partly because of what has become known as information or cognitive overload—where humans work way too hard for the computer rather than the other way around. Data integration middleware, business process management software, data warehouses, and data mining technologies have enabled the gathering of data from disparate sources and making those data available to human consumers. While these and “big data” technologies in general have facilitated the ontological (data availability) aspects of human problem-solving and decision-making, they have complicated the epistemological (meaning-making) aspects of those activities. Semantic and Web 3.0 technologies are forming a foundation of what we might call an ontological to epistemic transformation.

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References

  • Adams, R. (2007). Decision and stress: Cognition and e-accessibility in the information workplace. Universal Access in the Information Society, 5(4), 363–379. doi:10.1007/s10209-006-0061-9.

    Article  Google Scholar 

  • Agentis Software (2008). Goal directed agent technology: A whitepaper. Atlanta GA.

    Google Scholar 

  • Anderson, J. R. (1983). The architecture of cognition. Cambridge: Harvard University Press.

    Google Scholar 

  • Anderson, J. R. (2000). Learning and memory: An integrated approach (2nd ed., Vol. xviii). Hoboken: Wiley.

    Google Scholar 

  • Averbach, E., & Sperling, G. (1961). Short term storage of information in vision. In C. Cherry (Ed.), Information theory (pp. 196–211). Washington, DC: Butterworth & Co.

    Google Scholar 

  • Baddeley, A. D., & Hitch, G. J. (1974). Working memory. In G. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (pp. 47–90). New York: Academic.

    Google Scholar 

  • Bandura, A., Adams, N. E., & Beyer, J. (1977). Cognitive processes mediating behavioral change. Journal of Personality and Social Psychology, 35(3), 125–139. doi:10.1037/0022-3514.35.3.125.

    Article  Google Scholar 

  • Bargh, J. A., & Morsella, E. (2008). The unconscious mind. Perspectives on Psychological Science, 3(1), 73–79. doi:10.1111/j.1745-6916.2008.00064.x.

    Article  Google Scholar 

  • Barnhardt, T. (2005). Number of solutions effects in stem decision: Support for the distinction between identification and production processes in priming. Memory, 13(7), 725–748. doi:10.1080/09658210444000368.

    Article  Google Scholar 

  • BBN Technologies (2004). Cougaar architecture. http://www.cougaar.org. Accessed 18 April 2015.

  • Bertalanffy, L. V. (1968) General system theory: Foundations, development, applications. New York: George Braziller.

    Google Scholar 

  • Becker, M. W., Pashler, H., & Anstis, S. M. (2000). The role of iconic memory in change-detection tasks. Perception, 29(3), 273–286.

    Google Scholar 

  • Blume, B. D., Baldwin, T. T., & Ryan, K. C. (2013). Communication apprehension: A barrier to students’ leadership, adaptability, and multicultural appreciation. Academy of Management Learning & Education, 12(2), 158–172. doi:10.5465/amle.2011.0127.

    Article  Google Scholar 

  • Bransford, J. D., & Johnson, M. K. (1972). Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 11(6), 717–726. doi:10.1016/S0022-5371(72)80006-9.

    Article  Google Scholar 

  • Brünken, R., Plass, J. L., & Leutner, D. (2004). Assessment of cognitive load in multimedia learning with dual-task methodology: Auditory load and modality effects. Instructional Science, 32(1–2), 115–132. doi:10.1023/B:TRUC.0000021812.96911.c5.

    Article  Google Scholar 

  • Brünken, R., Steinbacher, S., Plass, J. L., & Leutner, D. (2002). Assessment of cognitive load in multimedia learning using dual-task methodology. Experimental Psychology, 49(2), 109–119. doi:10.1027//1618-3169.49.2.109.

    Article  Google Scholar 

  • Card, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information visualization: Using vision to think. New York: Morgan Kaufmann.

    Google Scholar 

  • Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Chomsky, N. (1979). Human language and other semiotic systems. Semiotica, 25, 31–44.

    Google Scholar 

  • Chomsky, N. (1996). Studies on semantics in generative grammar. The Hague: Mouton Publishers.

    Google Scholar 

  • Craik, F. I. M., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671–684. doi:10.1016/S0022-5371(72)80001-X.

    Article  Google Scholar 

  • Cooke, N. J., Gorman, J. C., & Rowe, L. J. (2004). An ecological perspective on team cognition. Mesa: Cognitive Engineering Research Institute.

    Google Scholar 

  • Cowan, N. (2000). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24, 87–185.

    Article  Google Scholar 

  • Endsley, M. R., Bolte, B., & Jones. D. G. (2003). Designing for situation awareness: An approach to user centered design. New York: Taylor & Francis.

    Google Scholar 

  • Engonopoulos, N., Demberg, V., & Sayeed, A.B. (2013). Language and cognitive load in a dual task environment. In Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci August, 2013) (pp. 2249–2254), Berlin, Germany.

    Google Scholar 

  • Gavrilova, T. A., & Voinov, A. V. (2007). The cognitive approach to the creation of ontology. Automatic Documentation and Mathematical Linguistics, 41 (2), 59–64.

    Google Scholar 

  • Gawronski, B., & Bodenhausen, G. V. (2006). Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132(5), 692–731. doi:10.1037/0033-2909.132.5.692.

    Article  Google Scholar 

  • Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. Cambridge: Polity Press.

    Google Scholar 

  • Gioia, D. A., & Poole, P. P. (1984). Scripts in organizational behavior. Academy of Management Review, 9(3), 449–459. doi:10.5465/AMR.1984.4279675.

    Google Scholar 

  • Goldstein, I. L., & Ford, J. K. (2002). Training in organizations. Belmont: Wadsworth.

    Google Scholar 

  • Greene, E. (2007). Information persistence in the integration of partial cues for object recognition. Perception & Psychophysics, 69(5), 772–784. doi:10.3758/BF03193778.

    Article  Google Scholar 

  • Haber, R. N. (1983). The impending demise of the icon: A critique of the concept of iconic storage in visual information processing. The Behavioral and Brain Sciences, 6, 1–54.

    Google Scholar 

  • Halford, G. S., Baker, R., McCredden, J. E., & Bain, J. D. (2005). How many variables can humans process? Psychological Science, 16(1), 70–76. doi:10.1111/j.0956-7976.2005.00782.x.

    Article  Google Scholar 

  • Hazeltine, E., Ruthruff, E., & Remington, R. W. (2006). The role of input and output modality pairings in dual-task performance: Evidence for content-dependent central interference. Cognitive Psychology, 52(4), 291–345. doi:10.1016/j.cogpsych.2005.11.001.

    Article  Google Scholar 

  • Hull, C. L. (1932). The goal-gradient hypothesis and maze learning. Psychological Review, 39(1), 25–43. doi:10.1037/h0072640.

    Google Scholar 

  • Hutchins, S. D., Wickens, C. D., Carolan, T. F., & Cumming, J. M. (2013). The influence of cognitive load on transfer with error prevention training methods a meta-analysis. Human Factors: The Journal of the Human Factors and Ergonomics Society, 0018720812469985. doi:10.1177/0018720812469985.

    Google Scholar 

  • Irwin, D., & Thomas, L. (2008). Neural basis of sensory memory. In S. Luck & A. Hollingworth (Eds.) Visual memory (pp. 32–35). New York: Oxford University Press.

    Google Scholar 

  • Jacoby, L. L. (1991). A process dissociation framework: Separating automatic from intentional uses of memory. Journal of Memory and Language, 30(5), 513–541. doi:10.1016/0749-596X(91)90025-F.

    Article  MathSciNet  Google Scholar 

  • Jensen, P.S., Mrazek, D., Knapp, P.K., Steinberg, L., Pfeffer, C., Schowalter, J. & Shaprio, T. (1997). Evolution and revolution in child psychiatry: ADHD as a disorder of adaptation. Journal of the American Academy of Child & Adolescent Psychiatry, 36(12), 1672–1681. doi:10.1097/00004583-199712000-00015.

    Article  Google Scholar 

  • Killmer, K. A., & Koppel, N. B. (2002). So much information, so little time: Evaluating web resources with search engines. Technological Horizons in Education Journal, 30, 21–29.

    Google Scholar 

  • Khemlani, S., & Johnson-Laird, P. N. (2013). Cognitive changes from explanations. Journal of Cognitive Psychology, 25(2), 139–146. doi:10.1080/20445911.2012.720968.

    Article  Google Scholar 

  • Kozma, R. B. (1991). Learning with media. Review of Educational Research, 61(2), 179–212.

    Google Scholar 

  • Langer, S. (1957). Philosophy in a new key: A study in the symbolism of reason, rite, and art. Cambridge: Harvard University Press.

    Google Scholar 

  • Lassila, O., & Swick, R. R. (1999). Resource description framework (RDF) model and syntax specification. W3C REC-rdf-syntax-19990222. http://www.w3.org/TR/1999/REC-rdfsyntax-19990222/. Accessed 18 April 2015.

  • Lidwell, W., Holden, K., & Butler, J. (2003). Universal principles of design. Rockport Publishers. http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09–20&path=ASIN/1592530079. Accessed 18 April 2015.

  • Loftus, G. R., & Loftus, E. F. (1975). The influence of one memory retrieval on a subsequent memory retrieval. Memory and Cognition, 2(3) 467–471.

    Google Scholar 

  • Logan, G. D., & Cowan, W. B. (1984). On the ability to inhibit thought and action: A theory of an act of control. Psychological Review, 91(3), 295–327.

    Google Scholar 

  • Lord, R. G., & Maher, K. J. (1990). Alternative information-processing models and their implications for theory, research, and practice. Academy of Management Review, 15(1), 9–28. doi:10.5465/AMR.1990.4308219.

    Google Scholar 

  • Lord, R. G., & Maher, K. J. (2002). Leadership and information processing: Linking perceptions and performance. London: Routledge.

    Google Scholar 

  • McBride, B. (2004). The resource description framework (RDF) and its vocabulary description language RDFS. In P. D. S. Staab & P. D. R. Studer (Eds.), Handbook on ontologies (pp. 51–65). Berlin: Springer. http://link.springer.com/chapter/10.1007/978–3-540–24750-0_3. Accessed 18 April 2015.

    Chapter  Google Scholar 

  • McNally, R. J., Otto, M. W., Hornig, C. D., & Deckersbach, T. (2001). Cognitive bias in panic disorder: A process dissociation approach to automaticity. Cognitive Therapy and Research, 25(3), 335–347. doi:10.1023/A:1010740617762.

    Article  Google Scholar 

  • Morris, J. S., Ohman, A., & Dolan, R. A. (1999). A subcortical pathway to the right amygdala mediating unseen fear. Proceedings of the National Academy of Sciences of the United States of America, 96, 1680–1685.

    Google Scholar 

  • Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1–4. doi:10.1207/S15326985EP3801_1.

    Article  Google Scholar 

  • Reder, L. M., & Schunn, C. D. (1996). Metacognition does not imply awareness: Strategy choice is governed by implicit learning and memory. In L. M. Reder (Ed.), Implicit Memory and Metacognition. Hillsdale: Lawrence Erlbaum.

    Google Scholar 

  • Richardson-Klavehn, A., Gardiner, J. M., & Ramponi, C. (2002). Level of processing and the process-dissociation procedure: Elusiveness of null effects on estimates of automatic retrieval. Memory, 10(5–6), 349–364. doi:10.1080/09658210244000180.

    Article  Google Scholar 

  • Rosch, E. (1975). Cognitive reference points. Cognitive Psychology, 7, 532–547.

    Google Scholar 

  • Schacter, D. L. (1995). Implicit memory: A new frontier for cognitive neuroscience. In The cognitive neurosciences (pp. 815–824). Cambridge: The MIT Press.

    Google Scholar 

  • Schacter, D. L., Gilbert, D. T., & Wegner, D. M. (2011). “Semantic and episodic memory”. Psychology (2nd ed., pp. 240–241.23). New York: Worth, Incorporated.

    Google Scholar 

  • Seitz, A. R. (2013). Cognitive neuroscience: Targeting neuroplasticity with neural decoding and biofeedback. Current Biology, 23(5), R210–R212. doi:10.1016/j.cub.2013.01.015.

    Article  Google Scholar 

  • Shabata H., & Omura, K. (2012). Comparing paper books and electronic media in reading to answer questions. Information Processing, Society for Imaging Science and Technology, 1, 43–46.

    Google Scholar 

  • Shibata, K., Chang, L.-H., Kim, D., Náñez, J. E., Sr, Kamitani, Y., Watanabe, T., & Sasaki, Y. (2012). Decoding reveals plasticity in V3 A as a result of motion perceptual learning. PLoS ONE, 7(8), e44003. doi:10.1371/journal.pone.0044003.

    Article  Google Scholar 

  • Shibata, K., Watanabe, T., Sasaki, Y., & Kawato, M. (2011). Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation. Science, 334(6061), 1413–1415. doi:10.1126/science.1212003.

    Article  Google Scholar 

  • Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127–190. doi:10.1037/0033-295X.84.2.127.

    Article  Google Scholar 

  • Shirom, A. (2003). Job-related burnout: A review. In J. C. Quick & L. E. Tetrick (Eds.), Handbook of occupational health psychology (pp. 245–264). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Stein, B. E., Wallace, M. T., & Alex, M. (1995). Neural mechanisms mediating attention and orientation to multisensory cues. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (pp. 683–702). Cambridge: MIT Press.

    Google Scholar 

  • Sternberg, R. J. (1977). Intelligence, information processing, and analogical reasoning: The componential analysis of human abilities (Vol. xi). Oxford: Lawrence Erlbaum.

    Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. doi:10.1207/s15516709cog1202_4.

    Article  Google Scholar 

  • Thomas, L. E., & Irwin, D. E. (2006). Voluntary eyeblinks disrupt iconic memory. Perception & Psychophysics, 68(3), 475–488. doi:10.3758/BF03193691.

    Article  Google Scholar 

  • Trafton, J. G., & Trickett, S. B. (2001). Note-taking for self-explanation and problem solving. Human-Computer Interaction, 16(1), 1–38. doi:10.1207/S15327051HCI1601_1.

    Article  Google Scholar 

  • Tulving, E. (1972). Episodic and semantic memory. In E. Tulving & W. Donaldson (Eds.), Organization of memory (pp. xiii, 311–403 423). Oxford: Academic.

    Google Scholar 

  • Urakawa, T., Inui, K., Yamashiro, K., Tanaka, E., & Kakigi, R. (2010). Cortical dynamics of visual change detection based on sensory memory. NeuroImage, 52(1), 302–308. doi:10.1016/j.neuroimage.2010.03.071.

    Article  Google Scholar 

  • Watson, D., & Tharp, R. (2013). Self-directed behavior: Self-modification for personal adjustment. Cengage Learning.

    Google Scholar 

  • Zaccaro, S. J., Rittman, A. L., & Marks, M. A. (2001). Team leadership. The Leadership Quarterly, 12(4), 451–483. doi:10.1016/S1048-9843(01)00093-5

    Article  Google Scholar 

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Workman, M., Riding, D. (2016). Semantic Cognition and the Ontological to Epistemic Transformation: Using Technologies to Facilitate Understanding. In: Workman, M. (eds) Semantic Web. Springer, Cham. https://doi.org/10.1007/978-3-319-16658-2_2

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