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Searching information in legal hypertext systems

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Abstract

Hypertext may represent a new paradigm capable of exploring legal sources within which links are established according to pertinent relationships found between statute texts and case law. However, to discover relevant information in such a network, a browsing mechanism is not enough when faced with a large volume of texts. This paper describes a new retrieval model where documents are represented according to both their content and relationships with other sources of information.

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References

  • Alschuler, L. 1989. Hand-Crafted Hypertext — Lessons from the ACM Experiment. InThe Society of Text, Hypertext, Hypermedia, and the Social Construction of Information, ed. E. Barrett, 343–361. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Ashley, K. D. 1992. Case-Based Reasoning and its Implications for Legal Expert Systems.Artificial Intelligence & Law 1(2–3): 113–208.

    Google Scholar 

  • Blair, D. C. & Maron, M. E. 1985. An Evaluation of Retrieval Effectiveness for a Full-Text Document-Retrieval System.Communications of the ACM 28(3): 289–299.

    Google Scholar 

  • Blair, D. C. 1990. Language and Representation in Information Retrieval. Amsterdam: Elsevier.

    Google Scholar 

  • Cleverdon, C. W. 1984. Optimizing Convenient On-Line Access to Bibliographic Databases.Information Service & Use 4: 37–47

    Google Scholar 

  • Coombs, J. H. 1990. Hypertext, Full Text, and Automatic Linking. ProceedingsACM-SIGIR'90, 83–98 Brussels.

  • Croft, W. B. 1983. Experiments With Representation in a Document Retrieval System.Information Technology: Research & Development 2: 1–21

    Google Scholar 

  • Faloutos, C. Lee, R. Plaisant, C. Shneiderman, B. 1990 Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues.Hypermedia 2(3): 183–200.

    Google Scholar 

  • Fox, E. A. 1983a. Characterization of Two Experimental Collections in Computer and Information Science. Cornell University, Department of Computer Science, Technical Report TR 83-561.

  • Fox, E. A. 1983b. Extending the Boolean and Vector Space Models of Information Retrieval with P-Norm Queries and Multiple Concept Types. Cornell University, Department of Computer Science, Doctoral Dissertation.

  • Fox, E. A., Nunn, G. L., & Lee, W. C. 1988. Coefficients for Combining Concept Classes in a Collection. ProceedingsACM-SIGIR'88, 291–307. Grenoble.

    Google Scholar 

  • Fox, C. 1990. A Stop List for General Text.ACM-SIGIR Forum 24(1–2): 19–35.

    Google Scholar 

  • Frei, H. P., Stieger, D. 1992. Making Use of Hypertext Links when Retrieving Information. ProceedingsACM-ECHT'92, 102–111. Milano.

  • Frisse, M. E. 1988. Searching for Information in a Hypertext Medical Handbook.Communications of the ACM 31(7): 880–886.

    Google Scholar 

  • Furnas, G., Landauer, T. K., Gomez, L. M., & Dumais, S. T. 1987. The Vocabulary Problem in Human-System Communication.Communications of the ACM 30(11): 964–971.

    Google Scholar 

  • Garfield, E., 1983. Citation Indexing: Its Theory and Application in Science, Technology and Humanities, 2nd edition. Philadelphia. The ISI Press.

    Google Scholar 

  • Gelbart, D., Smith, J. C. 1991. Beyond Boolean Search: Flexicon, A Legal Text-Based Intelligent System. Proceedings 3rd International Conference on Artificial Intelligence and Law. New York: ACM Press, 225–234.

    Google Scholar 

  • Greenleaf, G., Mowbray, A., & Tyree, A. 1991. The DataLex Legal Workstation — Integrating Tools for Lawyers. Proceedings 3rd International Conference on Artificial Intelligence and Law. New York: ACM Press, 215–224.

    Google Scholar 

  • Guinan, C. & Smeaton, A. F. 1992. Information Retrieval from Hypertext Using Dynamically Planned Guided Tours. ProceedingsACM-ECHT'92, 122–130. Milano.

  • Halasz, F. G. 1988. Reflections on NoteCards: Seven Issues for the Next Generation of Hypermedia Systems.Communications of the ACM 31(7): 836–852.

    Google Scholar 

  • Kessler, M. M. 1963. Bibliographic Coupling Between Scientific Papers.American Documentation 14(1): 10–25.

    Google Scholar 

  • Liu, M. 1993. The Complexities of Citation Practice: A Review of Citation Studies.Journal of Documentation, 49(4): 370–508.

    Google Scholar 

  • Noreault, T. McGill, M. J. & Koll, M. B. 1981. A Performance Evaluation of Similarity Measures, Document Term Weighting Schemes and Representations in a Boolean Environment. InInformation Retrieval Research, ed. R. N. Oddy, S. E. Robertson, C. J. van Rijsbergen, P. W. Williams 57–76. London: Butterworths.

    Google Scholar 

  • Porter, M. F. 1980. An Algorithm for Suffix Stripping.Program 14(3): 130–137.

    Google Scholar 

  • Van Rijsbergen, C. J. 1979.Information Retrieval 2nd edition. London: Butterworths.

    Google Scholar 

  • Savoy, J., Poulin, D. & Choquette, M. 1992. Hypertexte en droit: Problèmes et défis. ProceedingsComputers and Law, C3.1, 1–15. Montréal.

  • Savoy, J. 1993. Une évaluation des systèmes booléen, vectoriel et probabiliste. Départment d'informatique et de recherche opérationnelle, publication #875, Université de Montréal, p. 37.

  • Savoy, J. 1994. Hypertext as a Tool to Explore Legal Sources. Départment d'informatique et de recherche opérationnelle, publication #894, Université de Montréal, p. 14.

  • Salton, G. 1971.The SMART Retrieval System — Experiments in Automatic Document Processing. Prentice-Hall Inc., Englewood Cliffs, NJ.

    Google Scholar 

  • Salton, G. & McGill, M. J. 1983a.Introduction to Modern Information Retrieval. New-York: McGraw-Hill.

    Google Scholar 

  • Salton, G. Fox, E. & Wu, U. 1983b. Extended Boolean Information Retrieval.Communications of the ACM, 26(12): 1022–1036.

    Google Scholar 

  • Salton, G. 1989.Automatic Text Processing, The Transformation, Analysis, and Retrieval of Information by Computer. Reading: Addison-Wesley.

    Google Scholar 

  • Small, H. 1973. Co-Citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents.Journal of the American Society for Information Science 24(4): 265–269.

    Google Scholar 

  • Sparck Jones, K. & Bates, R. G. 1977. Research on Automatic Indexing 1974–1976. Technical Report, Computer Laboratory, University of Cambridge.

  • Turtle, H. 1990. Inference Networks for Document Retrieval. University of Massachusetts, Computer and Information Science Department, Doctoral Dissertation, Technical Report COINS Report 90-92.

  • Turtle, H. & Croft, W. B. 1991. Evaluation of an Inference Network-Based Retrieval Model.ACM Transactions on Information Systems 9(3): 187–222.

    Google Scholar 

  • Weinberg, B. H. 1974. Bibliographic Coupling: A Review.Information Storage and Retrieval 10(5/6): 189–196.

    Google Scholar 

  • Weinstock, M. 1971. Citation Indexes.Encyclopedia of Library and Information Science, Vol. 5, Marcel Dekker Inc., New-York, 16–40. Reprint in: Essays of an Information Scientist, 1, The ISI Press, Philadelphia, 1977, 188–216.

    Google Scholar 

  • Wilson, E. 1990. Links and Structures in Hypertext Databases for Law.Proceedings ACM-ECHT'90, 194–211. Paris, Cambridge University Press.

    Google Scholar 

  • Willett, P. 1988. Recent Trends in Hierarchic Document Clustering: A Critical Review.Information Processing & Management 24(5): 577–597.

    Google Scholar 

  • Zunde, P. & Dexter, M. E. 1969. Indexing Consistency and Quality.American Documentation 20(3): 259–267.

    Google Scholar 

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  1. Départment d'informatique et de recherche opérationnelle and Centre de recherche en droit public Université de Montréal, station A, P.O. Box 6128, H3C 3J7, Montréal, Qc, Canada

    Jacques Savoy

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  1. Jacques Savoy
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Correspondence to Jacques Savoy.

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Savoy, J. Searching information in legal hypertext systems. Artif Intell Law 2, 205–232 (1993). https://doi.org/10.1007/BF00871890

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  • DOI: https://doi.org/10.1007/BF00871890

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