New Generation Computing

, Volume 17, Issue 4, pp 395–405 | Cite as

Knowledge as a Social Medium

  • Keiichi Nakata
Special Issue


The increasing popularity and access to computer networks such as the Internet has introduced a new form of interaction among individuals, and brought about the social dimension to intelligent systems that are embedded into group and community settings. Knowledge is now seen as an asset not only of an individual but also of groups; research fields such as organisational memory, knowledge management and community ware are beginning to emerge. This paper surveys recent approaches, discusses whether social knowledge is a tangible notion, and examines the role of social knowledge in the context of group and community oriented systems with new challenges it offers.


Social Memory CSCW Knowledge Sharing Ontology Knowledge Representation 


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  1. 1).
    Ackerman, M. and McDonald, D., “Answer Garden 2: Merging Organisational Memory with Collaborative Help,” inProc. CSCW’96, pp. 97–105, 1996.Google Scholar
  2. 2).
    Benjamins, V. R. and Fensel, D., “Community is Knowledge! in (KA)2,” inProc. 11th Banff Knowledge Acquisition for Knowledge-Based System Workshop (KAW98), Banff, 1998.Google Scholar
  3. 3).
    Bowker, G. C., “Lest We Remember: Organisational Forgetting and the Production of Knowledge, Scholar
  4. 4).
    Buckingham Shum, S. “Negotiating the Construction and Reconstruction of Organisational Memories,”J. of Univ. Computer Science, 3, pp. 899–928, 1997.Google Scholar
  5. 5).
    Connerton, P.,How Societies Remember, Cambridge University Press, Cambridge, England, 1989.Google Scholar
  6. 6).
    Domingue, J., “Tadzebao and WebOnto: Discussing, Browsing, and Editing Ontologies on the Web,” inProc. 11th Knowledge Acquisition for Knowledge-Based Systems Workshop, Banff, 1998.Google Scholar
  7. 7).
    Donath, J. and Robertson, N., “The Sociable Web,” inProc. 2nd International Word Wide Web Conference, 1994.Google Scholar
  8. 8).
    Farquhar, A., Fikes, R., Pratt, W. and Rice, J. “Collaborative Ontology Construction for Information Integration,”KSL-95-63, Stanford Knowledge Systems Laboratory, 1995.Google Scholar
  9. 9).
    Farquhar, A., Fikes, R. and Rice, J., “The Ontolingua Server: A Tool for Collaborative Ontology Construction,”KSL-96-26, Stanford Knowledge Systems Laboratory, 1996.Google Scholar
  10. 10).
    Fensel, D., Decker, S., Erdmann, M. and Studer, R., “Ontobroker: The Very High Idea,” inProc. 11th International FLAIRS Conference (FLAIRS-98), Sanibal Island, Florida, 1998.Google Scholar
  11. 11).
    Garland, A. and Alterman, R., “Multiagent Learning through Collective Memory,” inProc. 1996 AAAI Spring Symposium on Adaptation, Co-evolution and Learning in Multiagent Systems, Stanford, 1996.Google Scholar
  12. 12).
    Gordon, T. F. and Karacapilidis, N., “The Zeno Argumentation Framework,” inProc. International Conference on Artificial Intelligence and Law (ICAIL-97), Melbourne, 1997.Google Scholar
  13. 13).
    GMD-FIT.CSCW,The Social Web Research Program, URL: 1998.Google Scholar
  14. 14).
    Gruber, T., “Toward Principles for the Design of Ontologies Used for Knowledge Sharing,”KSL-93-04, Stanford Knowledge Systems Laboratory, 1993.Google Scholar
  15. 15).
    Heylighen, F., Joslyn, C. and Turchin, V. eds.,Principia Cybernetica Web, URL: created 1993.Google Scholar
  16. 16).
    Hewitt, C., “Viewing Control Structures as Patterns of Passing Messages,”Artif. Intell. 8, pp. 323–364, 1977.CrossRefGoogle Scholar
  17. 17).
    Ishida, T., ed.,Community Computing: Collaboration over Global Information Networks, John Wiley & Sons, Chichester, 1998.Google Scholar
  18. 18).
    Kautz, H., Selman, B. and Shah, M., “The Hidden Web,”AI Magazine, pp. 27–36, Summer 1997.Google Scholar
  19. 19).
    Kunda, Z. and Thagard, P., “Forming Impressions from Stereotypes, Traits, and Behaviours,”Psychological Review, 103, pp. 283–308, 1996.CrossRefGoogle Scholar
  20. 20).
    Lacey, N., Nakata, K. and Lee, M., “Investigating the Effects of Explicit Epistemology on a Distributed Learning System,” inDistributed Artificial Intelligence Meets Machine Learning (Weiss, G. ed.),Lecture Notes in Artificial Intelligence, 1221, pp. 276–292, Springer-Verlag, 1997.Google Scholar
  21. 21).
    Lenat, D. B., “CYC: A Large-Scale Investment in Knowledge Infrastructure,”Communications of the ACM 38, 11, pp. 33–38, Nov. 1995.CrossRefGoogle Scholar
  22. 22).
    Levesque, H. J. and Brachman, R. J., “A Fundamanetal Tradeoff in Knowledge Representation and Reasoning (revised version),” inReadings in Knowledge Representation (Brachman, R. J. and Levesque, H. J. eds.), pp. 41–70, Morgan Kaufmann, Los Altos, 1985.Google Scholar
  23. 23).
    Marshall, C. C., Shipman, F. M. III and McCall, R. J., “Making Large-Scale Information Resources Serve Communities of Practice,”J. of Management Information Systems 11, 4, pp. 65–86, 1995.Google Scholar
  24. 24).
    Mamdani, A., Pitt, J. and Stathis, K., “Connected Communities from the standpoint of Multi-agent Systems,”New Gener. Comput., 17, 4, 1999.CrossRefGoogle Scholar
  25. 25).
    Nakata, K., Voss, A., Juhnke, M. and Kreifelts, T., “Concept Index: Capturing Emergent Community Knowledge from Documents,” inThe 7th Le Travail Humain Workshop “Designing Collective Memories” (Marti, P. and Bagnara, S. eds.), Paris, 1998.Google Scholar
  26. 26).
    Nakata, K., Voss, A., Juhnke, M. and Kreifelts, T., “Collaborative Concept Extraction and Management,” inProc. of the 2nd Int. Conf. on Practical Aspects of Knowledge Management (PAKM98) (Reimer, U. ed.), Basel, 1998.Google Scholar
  27. 27).
    Nishida, T., Hirata, T. and Maeda, H., “CoMeMo-Community: a System for Supporting Community Knowledge Evolution,” inProc. of the First Kyoto Meeting on Social Interaction and Communityware, Kyoto, Japan, 1998.Google Scholar
  28. 28).
    Nonaka, I. and Takeuchi, H.,The Knowledge-Creating Company, Oxford University Press, Oxford, 1995.Google Scholar
  29. 29).
    Quine, W. V. O.,Word and Object, John Wiley & Sons, New York, 1960.MATHGoogle Scholar
  30. 30).
    Rich, E., “User Modeling via Stereotypes,”Cognitive Science, 3, pp. 329–354, 1979.CrossRefGoogle Scholar
  31. 31).
    Rinaldi, G. R. and Padula, M., “Designing Virtual Social Memory Organizers: Online and Offline Perspectives for Historical Earthquake Data Organization and Dissemination,” inProc. INET’96, Montreal, 1996.Google Scholar
  32. 32).
    Rogers, Y. and Ellis, J., “Distributed Cognition: an Alternative Framework for Analysing and Explaining Collaborative Working,”J. of Information Technology, 9, 2, pp. 119–128, 1994.CrossRefGoogle Scholar
  33. 33).
    Stefik, M., “The Next Knowledge Medium,”The AI Magazine, 7, 1, pp. 34–46, Spring 1986.Google Scholar
  34. 34).
    Thagard, P. and Verbeurgt, K., “Coherence as Constraint Satisfaction,”Cognitive Science, 22, pp. 1–24, 1998.CrossRefGoogle Scholar
  35. 35).
    Yates, F.,The Art of Memory, University of Chicago Press, Chicago, 1966.Google Scholar

Copyright information

© Ohmsha, Ltd. and Springer 1999

Authors and Affiliations

  • Keiichi Nakata
    • 1
  1. 1.German National Research Center for Information TechnologyGMD-FITSankt AugustinGermany

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