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Combining structured and unstructured information in a retrieval model for accessing legislation
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Source International Conference on Artificial Intelligence and Law archive
Proceedings of the 10th international conference on Artificial intelligence and law table of contents
Bologna, Italy
SESSION: Legal knowledge bases 2: legislation table of contents
Pages: 141 - 145  
Year of Publication: 2005
ISBN:1-59593-081-7
Author
Marie-Francine Moens  Katholieke Universiteit Leuven, Leuven, Belgium
Sponsors
: The International Association for Artificial Intelligence and Law
: CIRSFID
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 38,   Citation Count: 5
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ABSTRACT

Legislative sources are currently accessible via portal web sites. Users demand precise and exhaustive answers to their information queries. When legislation is drafted, it contains text-rich information that is increasingly marked with XML tags. The statute structure as signaled by XML markup can be exploited to more precisely answer free information queries. In this paper we report on several XML retrieval models that we explicitly designed for the retrieval of legislation. We show that the models provide more advanced access to the content of statutes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Blanken, H. M, Grabs, T., Schek, H.-J., Schenkel, R. and Weikum, G. (Eds.) Intelligent Search on XML Data, Applications, Languages, Models, Implementations and Benchmarks. Springer, New York, 2003.
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Fuhr, N. Großjohann and S. Kriewel A query language and user interface for XML information retrieval. In H. Blanken, T. Grabs, H.-J. Schek, R. Schenkel & G. Weikum (Eds.), Intelligent SEARCH on XML Data (pp. 59--75). Springer, Berlin, 2003.
 
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Hiemstra, D. Statistical language models for intelligent XML retrieval. In H. Blanken, T. Grabs, H.-J. Schek, R. Schenkel and G. Weikum (Eds.), Intelligent SEARCH on XML Data (pp. 107--118). Springer, Berlin, 2003.
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Moens, M.-F. (Ed.). Digitale Wetgeving. Digital Legislation. Die Keure: Brugge, 2003.
 
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Moens, M.-F. XML Retrieval Models for Legislation. In T. Gordon (Ed.), Legal Knowledge Systems JURIX 2004: The Seventh Annual Conference (pp. 1--10). IOS Press, Amsterdam, 2004.


Collaborative Colleagues:
Marie-Francine Moens: colleagues