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Integrated access to legal literature through automated semantic classification.
- Source :
- Artificial Intelligence & Law; Jan2009, Vol. 17 Issue 1, p31-49, 19p, 2 Diagrams, 6 Charts, 1 Graph
- Publication Year :
- 2009
-
Abstract
- Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of a federation system with service provider functions, aiming at creating a centralized index of legal resources. The index is based on a uniform metadata view created for structured data by means of the OAI approach and for Web documents by a machine learning approach, which, in this paper, has been assessed as regards document classification. Semantic searching is a major requirement for legal literature users and a solution based on the exploitation of Dublin Core metadata, as well as the use of legal ontologies and related terms prepared for accessing indexed articles have been implemented. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09248463
- Volume :
- 17
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Artificial Intelligence & Law
- Publication Type :
- Academic Journal
- Accession number :
- 36251913
- Full Text :
- https://doi.org/10.1007/s10506-008-9072-6