Integrating Organizational Knowledge into Search Engine

  • Hiroshi Tsuji
  • Ryosuke Saga
  • Jugo Noda
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)


This paper presents a method for integrating organizational knowledge into general purpose search engine. The basic design concept is to provide front-end search agent, called SCIA/SF. SCIA/SF allows organizational people to externalize their findings from searches into pieces of relational-type knowledge, and to combine those pieces in a database. In addition, the organizational people have chance to internalize knowledge from SCIA/SF and collaborate with others by exchanging knowledge. SCIA/SF also receives feedback from people on the usefulness of relational-type knowledge in order to enforce its availability.


Search Engine Knowledge Sharing Robot Socialization Organizational Knowledge Natural Language Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Ackerman, M.S., McDonald, D.W.: Answer Garden 2- Merging Organizational Memory with Collaborative Help. In: Proc. of ACM Computer-Supported Cooperative Work (1996)Google Scholar
  2. 2.
    Bush, A.A., Tiwana, A.: Designing Sticky Knowledge Networks. Communication of the ACM 48(5), 67–71 (2005)CrossRefGoogle Scholar
  3. 3.
    Chen, F.: Internet Agents, New Riders (1996)Google Scholar
  4. 4.
    Fruchter, R., Demian, P.: CoMem: Designing an Interaction Experience for Reuse of Rich Contextual Knowledge from Corporate Memory. AIEDAM 16, 127–147 (2003)Google Scholar
  5. 5.
    Hatamura, Y., Nakao, M., Iino, K.: Prototyping a Failure Knowledge Database. Journal of IPSJ 44(7), 733–739 (2003)Google Scholar
  6. 6.
    Ishida, T.: Towards Computation over Communities. In: Ishida, T. (ed.) Community Computing and Support Systems. LNCS, vol. 1519, p. 1. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  7. 7.
    Koga, A., Mizuno, H., Tsuji, H.: Intelligent Guidance Method for Remote Consultation Systems using History of User’s Reference. IEEE/System Man and Cybernetics IV, 117–122 (1999)Google Scholar
  8. 8.
    Mizuno, H., Taniguchi, Y., Tsuji, H., Yajima, H., Komoda, N.: A Method of Data Queries Based on Data Visualization Techniques. SIC Journal 7(2) (1998)Google Scholar
  9. 9.
    Morimoto, Mase, H., Hirai, C., Tsuji, H., Kinugawa, K.: Operator Navigation System for Help Desk. In: World Multiconference on Systemics, Cybernetics and Informatics, pp. 173–178 (2000)Google Scholar
  10. 10.
    Nishikawa, N., Tsuji, H.: Allowing Multiple Experts to Revise a Thesaurus Database. In: Proc. Human Computer Interaction 1997, pp. 371–374 (1997)Google Scholar
  11. 11.
    Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, Inc., Oxford (1995)Google Scholar
  12. 12.
    Tiwana, A.: Integrating Knowledge on the Web. IEEE Internet Computing, 32–39 (May 2001)Google Scholar
  13. 13.
    Tiwana, A.: Affinity to Infinity in Peer-to-Peer Knowledge Platforms. Communications of the ACM 46(5), 77–80 (2003)CrossRefGoogle Scholar
  14. 14.
    Tokuda, T., Mase, H., Tsuji, H., Niwa, Y.: Experimental Evaluation on Associative Keyword Reminder by Thesaurus. In: Proc. of 7th IFAC Symposium on Analysis, Design and Evaluation of Man-Machine Systems, pp.161–166 (1998)Google Scholar
  15. 15.
    Tsuji, H., Yajima, H.: Man-Machine Cooperation in Information Retrieval, Filtering and Access. In: Proc. of 7th IFAC Symposium on Analysis, Design and Evaluation of Man-Machine Systems, pp.131–136 (1998)Google Scholar
  16. 16.
    Tsuji, H., Morimoto, Y., Namba, Y., Mase, H., Kinukawa, H., Endoh, H.: User Guidance Function in Natural Language Interface for Document Query and Handling. In: Proc. of Flexible Query-Answering System 1996, pp.105–118 (1996)Google Scholar
  17. 17.
    Tsuji, H., Hashimoto, H.: Expert System for Transferring Programming Know-how from Skilled to Unskilled Programmers. Journal of Japanese Society for Artificial Intelligence 3(6), 755–764 (1988)Google Scholar
  18. 18.
    Yajima, H., Tanaka, T., Mizuno, H., Tsuji, H.: Interactive Consultation System with Asymmetrical Communications between Users and Expert Staff in an Electronic Community. Community Computing and Support Systems (Toru Ishida, ED), 268–281 (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hiroshi Tsuji
    • 1
  • Ryosuke Saga
    • 1
  • Jugo Noda
    • 2
  1. 1.Graduate School of EngineeringOsaka Prefecture UniversitySakai, OsakaJapan
  2. 2.Software Division, Hitachi, Ltd.Japan

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