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TRELLIS: An Interactive Tool for Capturing Information Analysis and Decision Making

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Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web (EKAW 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2473))

Abstract

TRELLIS provides an interactive environment that allows users to add their observations, opinions, and conclusions as they analyze information by making semantic annotations about on-line documents. TRELLIS includes a vocabulary and markup language for semantic annotations of decisions and tradeoffs, and allows users to extend this vocabulary with domain specific terms or constructs that are useful to their particular task. To date, we have used TRELLIS with a variety of scenarios to annotate tradeoffs and decisions (e.g., military planning), organize materials (e.g., search results), analyze disagreements and controversies on a topic (e.g., intelligence analysis), and handle incomplete and conflicting information (e.g., genealogy research).

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References

  1. Ackerman, M.S. and McDonald, D.W. 1996. Answer Garden 2: Merging Organizational Memory with Collaborative Help. In Proceedings of CSCW-96.

    Google Scholar 

  2. Allen, J. F. 1984. A General Model of Action and Time. Artificial Intelligence 23(2).

    Google Scholar 

  3. Cowie, J. and Lehnert, W. 1996. Information Extraction. Communications of the ACM, 39(1): 80–91, Jan 1996.

    Google Scholar 

  4. Croft, W.B. 1999. Combining Approaches to Information Retrieval,” in Advances in Information Retrieval: Recent Research from the CUR, Kluwer Academic Publishers.

    Google Scholar 

  5. Gil, Y. and Ratnakar, V. 2002. Trusting information sources one citizen at a time, Proceedings of the First International Semantic Web Conference, Sardinia, Italy.

    Google Scholar 

  6. Giuber, T.R. 1991. The Role of Common ontology in achieving sharable, reusable knowledge bases. In Proceedings of the Second International Conference, Principles of Knowledge Representation and Reasoning.

    Google Scholar 

  7. Koivunen, M.R. and Swick, R. 2001. Metadata Based Annotation Infrastructure offers Flexibility and Extensibility for Collaborative Applications and Beyond. In: Proceedings of the K-CAP 2001 Workshop on Knowledge Markup and Semantic Annotation, BC.

    Google Scholar 

  8. Lawrence, J. D.; Harrison, I.W.; and Rodriguez, A. C. 2001. Capturing Analytic Thought. In Proceedings of the First International Conference on Knowledge Capture (K-CAP 2001). Victoria, British Columbia, October 2001.

    Google Scholar 

  9. Lemmon, E. and Scott, D. 1977. An Introduction to Modal Logic. Oxford: Blackwell.

    MATH  Google Scholar 

  10. Mann, W. C. and Thompson, S. A. 1988. Rethorical Structure Theory: Toward a Functional Theory of Text Organization. Text 8(3).

    Google Scholar 

  11. Nagao, K., Shirai, Y., Squire, K. 2001. Semantic Annotation and Transcoding: Making Web Content More Accessible. IEEE MultiMedia 8(2): 69–81.

    Article  Google Scholar 

  12. Pollock, John L. 1994. Justification and Defeat, Artificial Intelligence, 67 p. 377–407.

    Article  MATH  MathSciNet  Google Scholar 

  13. Radev, D. and McKeown, K. 1998. Generating natural language summaries from multiple online sources. Computational Linguistics, 1998.

    Google Scholar 

  14. Shum, S.B., Motta, E., Domingue, J. 2000. ScholOnto: An Ontology-Based Digital Library Server for Research Documents and Discourse. Journal on Digital Libraries, 3(3).

    Google Scholar 

  15. Shum, S.B. 1996. Design Argumentation as Design Rationale. Encyclopedia of Computer Science and Technology (M.Dekker Inc: NY).

    Google Scholar 

  16. Smith, R. and Farquhar, A. 2000. AI Magazine, Fall 2000.

    Google Scholar 

  17. Wilkins, D.E., Myers, K.L. 1995. A Common Knowledge Representation for Plan Generation and Reactive Execution, Journal of Logic and Computation, 5 p. 731–761.

    Article  MATH  Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Gil, Y., Ratnakar, V. (2002). TRELLIS: An Interactive Tool for Capturing Information Analysis and Decision Making. In: Gómez-Pérez, A., Benjamins, V.R. (eds) Knowledge Engineering and Knowledge Management: Ontologies and the Semantic Web. EKAW 2002. Lecture Notes in Computer Science(), vol 2473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45810-7_6

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  • DOI: https://doi.org/10.1007/3-540-45810-7_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44268-4

  • Online ISBN: 978-3-540-45810-4

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