The role of the dikw hierarchy in the design of a digital library system for the scientific data of large-scale evaluation campaigns

ABSTRACT

This paper exploit the DIKW hierarchy as a framework for modelling the scientific data produced during large-scale evaluation campaigns for information retrieval systems in order to design a digital library system able to manage and support the course of such evaluation campaigns.

REFERENCES

• 1: M. Agosti, G. M. Di Nunzio, and N. Ferro. A Proposal to Extend and Enrich the Scientific Data Curation of Evaluation Campaigns. In Proc. 1st Int. Workshop on Evaluating Information Access (EVIA 2007), pages 62--73. NII, Tokyo, Japan, 2007.
• 2: M. Agosti, G. M. Di Nunzio, N. Ferro, D. Harman, and C. Peters. The Future of Large-scale Evaluation Campaigns for Information Retrieval in Europe. In Proc. ECDL 2007, pages 509--512. LNCS 4675, Springer, Heidelberg, Germany, 2007.
• 3: M. Zeleny. Management Support Systems: Towards Integrated Knowledge Management. Human Systems Management, 7(1):59--70, 1987.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software
          Subjects: Performance evaluation (efficiency and effectiveness)

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.7 Digital Libraries

General Terms:
Design, Experimentation, Management, Performance

Keywords:
digital library system, dikw, large-scale evaluation campaigns, scientific data