Automated learning of decision rules for text categorization
ACM Transactions on Information Systems (TOIS)
Machine Learning
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Introduction to Bayesian Networks
Introduction to Bayesian Networks
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
On the algorithmic implementation of multiclass kernel-based vector machines
The Journal of Machine Learning Research
Kernel Methods for Pattern Analysis
Kernel Methods for Pattern Analysis
Access to Italian legal literature: integration between structured repositories and web documents
DCMI '03 Proceedings of the 2003 international conference on Dublin Core and metadata applications: supporting communities of discourse and practice---metadata research & applications
Opening the legal literature portal to multilingual access
DCMI '04 Proceedings of the 2004 international conference on Dublin Core and metadata applications: metadata across languages and cultures
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
International Journal of Metadata, Semantics and Ontologies
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Retrieval of legal information, in particular legal literature, is examined in conjunction with the creation of a Portal to Italian legal doctrine. Subject searching is a major requirement for Italian legal literature users and a solution is described for the retrieval of legal literature's resources. Such solution is based on the exploitation of Dublin Core (DC) metadata for both data coming from structured repositories and for web documents, as well as the use of a controlled vocabulary list prepared for accessing indexed papers of the DoGi database. Technical specifications are illustrated, as well as benefits and limitations of such solution.