Semi-automatic annotation of contested knowledge on the world wide web

ABSTRACT

We describe a strategy to support the semantic annotation of contested knowledge, in the context of the Scholarly Ontologies project, which aims at building a network of interpretations enriching a corpus of scholarly papers. To model such knowledge, which does not have 'right' and 'wrong' values, we are building on the notion of active recommendations as a means to sparkle annotators' interest. We finally argue for a different approach to the evaluation of its impact.

REFERENCES

• 1: Siegfried Handschuh , Steffen Staab, Authoring and annotation of web pages in CREAM, Proceedings of the 11th international conference on World Wide Web, May 07-11, 2002, Honolulu, Hawaii, USA [doi>10.1145/511446.511506]
• 2: Frank M. Shipman, III , Raymond McCall, Supporting knowledge-base evolution with incremental formalization, Proceedings of the SIGCHI conference on Human factors in computing systems: celebrating interdependence, p.285-291, April 24-28, 1994, Boston, Massachusetts, United States [doi>10.1145/191666.191768]
• 3: J. M. Swales. Genre Analysis: English in Academic and Research Settings. Cambridge University Press, 1990.
• 4: Simone Teufel , Marc Moens, Summarizing scientific articles: experiments with relevance and rhetorical status, Computational Linguistics, v.28 n.4, p.409-445, December 2002 [doi>10.1162/089120102762671936 ]
• 5: V. Uren, B. Sereno, S. Buckingham Shum, and G. Li. Interfaces for Capturing Interpretations of Research Literature. In Proceedings of the Distributed and Collective Knowledge Capture Workshop, held with the Knowledge Capture Conference (KCAP), FL, USA, October 2003.
• 6: Victoria Uren , Simon Buckingham Shum , Gangmin Li , John Domingue , Enrico Motta, Scholarly publishing and argument in hyperspace, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775187]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.2 User/Machine Systems
          Subjects: Human information processing

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.7 Digital Libraries
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

General Terms:
Experimentation, Human Factors

Keywords:
annotation, contesting interpretations, interface, sense-making