Law and the Semantic Web Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications /

by Roberto Cencioni At the Lisbon Summit in March 2000, European heads of state and government set a new goal for the European Union — to become the most competitive knowled- based society in the world by 2010. As part of this objective, ICT (information and communication technologies) services shou...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Benjamins, V. Richard (Επιμελητής έκδοσης), Casanovas, Pompeu (Επιμελητής έκδοσης), Breuker, Joost (Επιμελητής έκδοσης), Gangemi, Aldo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3369
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Context of the Book
  • Law and the Semantic Web, an Introduction
  • Introduction: Legal Informatics and the Conceptions of the Law
  • Statistical Study of Judicial Practices
  • Theoretical Papers: Legal Ontologies and Methodologies
  • Use and Reuse of Legal Ontologies in Knowledge Engineering and Information Management
  • Types and Roles of Legal Ontologies
  • CAUSATI O NT : Modeling Causation in AI&Law
  • A Constructive Framework for Legal Ontologies
  • On the Ontological Status of Norms
  • Building Legal Ontologies with METHONTOLOGY and WebODE
  • Institutional Pragmatics and Legal Ontology Limits of the Descriptive Approach of Texts
  • Practice Papers: Information Retrieval and Applications
  • Using NLP Techniques to Identify Legal Ontology Components: Concepts and Relations
  • A Methodology to Create Legal Ontologies in a Logic Programming Information Retrieval System
  • Iuriservice: An Intelligent Frequently Asked Questions System to Assist Newly Appointed Judges
  • NetCase: An Intelligent System to Assist Legal Services Providers in Transnational Legal Networks
  • No Model Behaviour: Ontologies for Fraud Detection.