Module 2: Knowledge Organization and Computer Science (Supplement)

[Deutsch]

Books

1. Argyris, Chris (1996): On Organizational Learning. Cambridge (MA): Blackwell.
2. Bartlett, F. C. (1932): Remembering: A study in experimental and social psychology. London: Cambridge University Press.
3. Buckland, M. (1991): Information and Information Systems. Westport (London): Greenwood Press.
4. Koehler, W. (1927). The mentality of apes (Translation by Winter, E.). London: Routledge. (Original work published 1917).
5. Laurillard Diana (1993): Rethinking University Teaching: A Framework for the Effective Use of Educational Technology. London: Routledge.
6. Luger, Georg; Stubblefield, William (1997): Artificial Intelligence. Structures and Strategies for complex problem solving. Reading (MA): Addison Wesley.
7. Paivio, A. (1986): Mental representations. A dual coding approach. New York: Oxford University Press.
8. Prusak, Laurence, Ed. (1997):Knowledge in Organizations. Boston (MA): Butterworth-Heinemann.
9. Pylyshin, Z. (1984): Computation and Cognition: Toward a Foundation of Cognitive Science. Cambridge (MA): MIT Press.
10. Quillian, M. R. (1966): Semantic Memory. Cambridge: Bolt, Beranek & Newman.
11. Rich, Elaine; Knight, Kevin (1991): Artificial Intelligence, 2nd Ed., New York: McGraw-Hill.
12. Rosch, E.; Lloyd, Eds. (1978): Cognition & Categorization. Hillsdale (NJ): Erlbaum.
13. Rowley, Jennifer (1987): Organising Knowledge: An Introduction to Information Retrieval. Gower.
14. Russell, Stuart J.; Norvig, Peter (1995): Artificial Intelligence. A modern Approach. Upper Saddle River (NJ): Prentice Hall.
15. Salton, Gerard (1968): Automatic Information Organisation and Retrieval. New York: McGraw-Hill.
16. Senge, Peter M. (1992): The fifth Discipline. The art and practice of the learning organization. London et.al.: Century Business.
17. Smith, Peter (1996): An Introduction to Knowledge Engineering. London: Thomson Publishing.
18.  

1. Alonso-Amo, Fernando; Juristo, Natalia; Matè, Luis; Pazos,Juan; Muñoz, Pedro L. (1998): How much can you learn? A new learning metric. Expert Systems, International Journal of Knowledge Engineering, Vol. 15, 4/1998, 256-261.
2. Bransford, John D.; Johnson, Merieta K (1972): Contextual prerequisites for understanding: Some investigators of comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 11, 717-726.
3. Collins, A., Brown, J. S.; Larkin, K.M. (1980): Inference in text understanding. In R. J. Spiro, B.C. Bruce, and W.F. Brewer (Eds.), Theoretical issues in reading comprehension (pp. 385-407). Hillsdale, NJ: Erlbaum.
4. Gómez, A.; Moreno, A.; Pazos, J.; Sierra-Alonso, A. (2000): Knowledge maps: An essential technique for conceptualisation. Data & Knowledge Engineering, Vol. 33, Issue 2, May 2000, 169-190.
5. Hannigan, Sharon L.;  Reinitz, Mark T. (2001): A Demonstration and Comparison of Two Types of Inference-Based Memory Errors. Journal of Experimental Psychology:Learning, Memory, and Cognition, July 2001, Vol. 27, No. 4, 931-940.
6. Hölscher, Christoph; Strube, Gerhard (2000): Web search behavior of Internet experts and newbies. Computer Networks. Vol. 33, Issues 1-6, June 2000, 337-346.
7. Kingston, J.; Macintosh, A. (2000): Knowledge management through multi-perspective modelling: representing and distributing organizational memory. Knowledge-Based Systems, Vol. 13, Issues 2-3, April 2000, 121-131.
8. Kintsch, W. (1988). The role of knowledge in discourse comprehension construction-integration model. Psychological Review, 95, 163-182.
9. Kogan, Yakov; Michaeli, David; Sagiv, Yehoshua; Shmueli, Oded(1998): Utilizing the multiple facets of WWW contents. Data and Knowledge Engineering, Vol. 28, Issue 3/98, 255-275.
10. Liebowitz, J.; Wright, K. (1999): Does measuring knowledge make „cents“? Expert Systems with Applications, Volume 17, Issue 2, August 1999, 99-103.
11. Newell, Alan (1980): Physical Symbol Systems. Cognitive Science, 1980, 4, 135-183.
12. Rumelhart, David (1980): Schemata: The building blocks of cognition. In: Theoretical issues in reading comprehension. R. Spiro, B. Bruce and W. Brewer. Hillsdale (NJ): Lawrence Erlbaum Associates.
13. Strube, G. (1996): Knowledge-based systems from a socio-cognitive perspective. Behaviour & Information Technology, 15, 276-288.
14. Zadeh, Lotfi (1984): Fuzzy probabilities. Information Processing and Management, 1984, 19, 148-153.

1. Data and Knowledge Engineering (ISSN: 0169-023X) | Elsevier Science Ltd
2. Expert Systems – International Journal of Knowledge Engineering (ISSN: 0266-4720) | Blackwell Publishers
3. Expert Systems with Applications (ISSN: 0957-4174) | Elsevier Science Ltd
4. Knowledge Engineering Review (ISSN: 0269-8889) | Cambridge University Press
5. Knowledge Based Systems (ISSN: 0950-7051) | Elsevier
6. IEEE Transactions on Knowledge and Data Engineering (ISSN: 1041-4347) | IEEE Institute of Electrical and Electronics
7. itFokus, Magazin für Intelligent Enterprise Computing (ISSN: 0940-6352) | Verlag für innovative Technologien

1. SIEMENS-Knows

2. Pittsburgh > Carnegie Mellon > John R. Anderson >  ACT-Reserach Group

3. Edinburgh (UK) > Napier University > Tower of Hanoi (HTML versus VRML)

4. South Orange (NJ) > Seton Hall University > Tower of Hanoi in Java

5. Cambridge (MA) > MIT > Media Lab > Software Agents Group

6. New York > Columbia University > Multimedia-Search

7. Cambridge (MA) > Applied Logic Programming Inc. > PROLOG

8. Tucson (AZ) > University of Arizona > Artificial Intelligence Lab > Information Management Group

9. http://ist-socrates.berkeley.edu/~jsearle/html/mainsearle.html

1. Do this test, created by Sveiby to test your tacit knowledge.
2. Follow the instruction in this experiment.
3.  

Thank you for your kind interest and patience.