Artificial Intelligence and Law 10 (4) (2002)
|Abstract||Legal contracts and litigation documents common to the American legal system were encoded in the eXtensible Markup Language (XML). XML also represents rules about the contracts and litigation procedure. In addition to an expert system tool that allows one to make inferences with that engine, a Graphical User Interface (GUI) generates the XML representing the rules. A rulebase is developed by marking up examples of the XML to be interpreted and the XML to be generated, analogously to Query By Example. This article provides a broader context of the synergy between XML and artificial intelligence by including discussions of: (1) the role of Artificial Intelligence in handling routine litigation; (2) how the use of XML enables legal expert systems to get their `input' without the user having to enter the same information again for the expert system;(3) the advantages of XML markup over other forms of markup for documents; (4) the relationship between XML and ontologies; (5) other projects using XML with rules or legal affairs.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
John Zeleznikow, George Vossos & Daniel Hunter (1993). The IKBALS Project: Multi-Modal Reasoning in Legal Knowledge Based Systems. [REVIEW] Artificial Intelligence and Law 2 (3):169-203.
Fady Farah & François Rousselot (2007). DARES: Documents Annotation and Recombining System—Application to the European Law. [REVIEW] Artificial Intelligence and Law 15 (2):83-102.
Alexander Boer, Tom van Engers, Rob Peters & Radboud Winkels (2007). Separating Law From Geography in GIS-Based Egovernment Services. Artificial Intelligence and Law 15 (1):49-76.
Shahid Manzoor, Werner Ceusters & Barry Smith (2009). Referent Tracking for Command and Control Messaging Systems. In of Ontology for the Intelligence Community. CEUR, vol. 555.
Ben Hachey & Claire Grover (2006). Extractive Summarisation of Legal Texts. Artificial Intelligence and Law 14 (4):305-345.
Mingqiang Xu, Kaoru Hirota & Hajime Yoshino (1999). A Fuzzy Theoretical Approach to Case-Based Representation and Inference in CISG. Artificial Intelligence and Law 7 (2-3):259-272.
Sorry, there are not enough data points to plot this chart.
Added to index2009-01-28
Recent downloads (6 months)0
How can I increase my downloads?