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Legal Knowledge Representation Using a Faceted Scheme

Published: 17 June 2019 Publication History

Abstract

A database supports legal research by matching a user's request for information with documents of the database that contain it. Indexes are among the oldest tools to achieve that aim. Many legal publishers continue to provide manual subject indexing of legal documents, in addition to automatic full-text indexing, which improves the performance of a full-text search.

References

[1]
Broughton, Vanda (2001). Faceted classification as a basis for knowledge organization in a digital environment; the Bliss Bibliographic Classification as a model for vocabulary management and the creation of multi-dimensional knowledge structures. The New Review of Hypermedia and Multimedia 7(1): 67--102.
[2]
Broughton, Vanda (2010). The use and construction of thesauri for legal documentation. Legal Information Management 10(1): 35--42.
[3]
Broughton, Vanda (2011). Brian Vickery and the Classification Research Group: the legacy of faceted classification. https://www.researchgate.net/publication/266184326.
[4]
Francesconi, Enrico, Montemagni, Simonetta, Peters, Wim, Tiscornia, Daniela (eds.) (2010). Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language. Heidelberg.
[5]
Nevelow Mart, Susan (2013). The Case for Curation: The Relevance of Digest and Citator Results in Westlaw and Lexis. Legal Reference Services Quarterly, 32:1-2: 13--53.
[6]
Ranganathan, Shiyali Ramamrita (1959). Elements of Library Classification. 2nd edition. Edited by B.I. Palmer. London: Asia Publishing House.
[7]
Reiner, Günter, Cumyn, Michelle, Hudon, Michèle and Mas, Sabine (2019). Designing a database to assist legal thinking: a new approach to indexing using facets. In: Erich Schweighofer, Franz Kummer, Saarenpää (eds.), Internet of Things, Proceedings of the 22nd International Legal Informatics Symposium IRIS 2019, p. 345--356.
[8]
Satija M. P. (2017). Colon Classification (CC). Knowl. Org. 44 (2017) No.4: 291--307.
[9]
Schweighofer, Erich (2009). Learning and Verification of Legal Ontologies by Means of Conceptual Analysis. https://www.researchgate.net/publication/242641747
[10]
Scott, Mark and Smith, Nigel (2010). Legal Taxonomy from Sweet & Maxwell. Legal Information Management 10(3): 217--222.

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  • (2021)Plum2TextProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466148(200-204)Online publication date: 21-Jun-2021

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cover image ACM Conferences
ICAIL '19: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law
June 2019
312 pages
ISBN:9781450367547
DOI:10.1145/3322640
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • Univ. of Montreal: University of Montreal
  • AAAI
  • IAAIL: Intl Asso for Artifical Intel & Law

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2019

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  • (2021)Plum2TextProceedings of the Eighteenth International Conference on Artificial Intelligence and Law10.1145/3462757.3466148(200-204)Online publication date: 21-Jun-2021

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