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Constructing a semantic network for legal content
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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: 125 - 132  
Year of Publication: 2005
ISBN:1-59593-081-7
Authors
Radboud Winkels  University of Amsterdam, Amsterdam, the Netherlands
Alexander Boer  University of Amsterdam, Amsterdam, the Netherlands
Emile de Maat  University of Amsterdam, Amsterdam, the Netherlands
Tom van Engers  University of Amsterdam, Amsterdam, the Netherlands
Matthijs Breebaart  Dutch Tax and Customs Administration, B/CKC, Utrecht, the Netherlands
Henri Melger  Dutch Tax and Customs Administration, B/CKC, Utrecht, the Netherlands
Sponsors
: The International Association for Artificial Intelligence and Law
: CIRSFID
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 59,   Citation Count: 6
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ABSTRACT

The Dutch Tax and Customs Administration (DTCA) is one of many organizations that deal with a multitude of electronic legal data, from various sources and in different formats. In this paper, we describe the results of a study aimed at better access to these sources by having a supplier and format independent knowledge store that describes the sources and their interrelations in a semantic network. Furthermore we developed parsers to automatically detect the identity of sources and typed references within the sources to other legal documents. These parsers can be used to fill and update the semantic network as new documents are added.


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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A. Boer, R. Hoekstra, R. Winkels, T. van Engers & F. Willaert. METAlex: Legislation in XML. In T. Bench-Capon et al. (eds) Legal Knowledge and Information System. Jurix 2002. IOS Press, Amsterdam, 2002, pp. 1--10.
 
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A. Boer, R. Winkels, T. van Engers & E. de Maat. A Content Management System based on an Event-based Model of Version Management Information in Legislation. In T. Gordon (ed.), Legal Knowledge and Information Systems. Jurix 2004. IOS Press, Amsterdam, 2004, pp. 19--28.
 
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A. Bolioli, L. Dini, P. Mercatali & F. Romano. For the automated mark-up of Italian legislative texts in xml. In T. Bench-Capon et al. (eds), Legal Knowledge and Information Systems. Jurix 2002. IOS Press, Amsterdam, 2002, pp. 21--30.
 
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P. Cohen, R. Schrag, E. Jones, A. Pease, A. Lin, B. Starr, D. Easter, D. Gunning & M. Burke. The DARPA High Performance Knowledge Bases Project. In Artificial Intelligence Magazine. Vol. 19, No. 4, 1998, pp.25--49.
 
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I. Horrocks, P. Patel-Schneider & F. van Harmelen. From shiq and rdf to owl: The making of a web ontology language. Journal of Web Semantics, 1(1):7--26, 2003.
 
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C. Lupo. Norm URN rules definition. Technical report of the Italian working group on URN Norm specification standard. www.normeinrete.it
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Collaborative Colleagues:
Radboud Winkels: colleagues
Alexander Boer: colleagues
Emile de Maat: colleagues
Tom van Engers: colleagues
Matthijs Breebaart: colleagues
Henri Melger: colleagues