Benjamins, P.R., Contreras, J., Casanovas, P., Ayuso, M., Becue, M., Lemus, L., Urios, C.: Ontologies of Professional Legal Knowledge as the Basis for Intelligent IT Support for Judges. In: Proceedings of the 2003 ICAIL workshop on legal ontologies and web-based legal information management (2003) Mommers, L.: Applied Legal Epistemology. Development of a knowledge-based ontology of the legal domain. Doctoral thesis (2003) Provides a unique theoretical reflection on the engineering of legal ontology The formalization of legal ontologies practically falls on the standards of the Semantic Web. In this article, we propose a number of basic types and roles of ontologies and use them as a basis for analyzing several legal ontologies in AI and the legal literature. We discuss certain dimensions in which types of ontologies must be distinguished, for example, taking into account their structural level. We propose five main roles of ontologies in general: (a) organizing and structuring information; (b) reasoning and problem solving; (c) semantic indexing and searching; (d) semantic integration and interoperability; and (e) understand the field. We then discuss examples of work that has exploited each of these roles in AI and the legal literature. In addition, we discuss some of the consequences of using ontologies to play each of these roles, in terms of the structural level of knowledge represented in ontologies, the types of knowledge representation formalisms they use, and the reasoning methods they use. Semantic gaps in the body of law suggest the use of non-monotonous formalisms.
List of selected resources, methods, and tools for legal data schemas and ontologies. Legal ontologies have proven crucial to the representation, processing and retrieval of legal information and will become increasingly important in the emerging framework of the Semantic Web. Despite the many research projects in this field, a collective reflection on the theoretical foundations of legal ontology engineering was still lacking. This book fills this gap by examining current methods and theoretical approaches to legal ontologies. It brings together 16 papers, each presenting questions and solutions for ontology engineering related to a particular approach or aspect of law: comparative law, case thinking, multilingualism, complex systems, socio-legal analysis, legal theory, social ontology, ontology learning, computational ontology, service ontology, cognitive science, document modelling, large legal databases, scientific, linguistics and Legal Technology Outlook. The book will therefore interest researchers from the fields of legal informatics, artificial intelligence and law, legal theory, philosophy of law, sociology of law, comparative law, as well as developers of applications based on the intelligent management of legal information, both in e-commerce and e-government (e-administration, e-justice, e-democracy). LegOnt 2003: Proceedings of the ICAIL 2003 workshop on legal ontologies and web-based legal information management. Edinburgh (2003), URL: www.lri.jur.uva.nl/~winkels/legontICAIL2003.html Valente, A., Breuker, J.: A functional ontology of law. In: Bargellini, G., Binazzi, S. (Hrsg.) Towards a global expert system in law. CEDAM Publishers, Padua (1994) Saias, J., Quaresma, P.: Using NLP techniques to create legal ontologies in a web information retrieval system based on logic programming.
In: Proceedings of the 2003 ICAIL workshop on legal ontologies and web-based legal information management (2003) Eine breite systematische Kartierungsstudie für Rechtsontologien wird bereitgestellt. In den letzten 30 Jahren hat AI & Law Durchbrüche in Studien zu fallbasiertem Denken, regelbasiertem Denken, Informationsabruf und zuletzt konzeptionellen Modellen für Wissensrepräsentation und Argumentation, bekannt als Legal Ontologies, erzielt. Ontologies have been used by lawyers, academics, and laypeople in a variety of situations, such as simulating legal steps, semantic search and indexing, and tracking ongoing changes in laws and regulations. Given the large number of legal ontologies, there is an urgent need to consolidate this area of research through a clearly defined methodological procedure. This study presents the results of a systematic mapping of the literature aimed at categorizing legal ontologies according to specific dimensions, such as purpose, generality, underlying legal theories and other aspects. There are two reasons for systematic mapping: in addition to explaining the maturation of the territory in recent decades, it avoids the old problem of reinventing the wheel. By organizing and classifying what has already been produced, it is possible to see that the development of legal ontologies can reach the level of reusability, where ready-made models can be coupled with new, more complex ontologies for practical law. Gangemi, A., Sagri, M.T., Tiscornia, D.: Metadata for the description of content in legal information.
In: Proceedings of the 2003 ICAIL Workshop on Legal Ontologies and Web-Based Legal Information Management (2003) Goes beyond presenting specific results in the development of legal ontologies Anyone with whom you share the following link can read this content: Copyright Information: Springer Science+Business Media B.V. 2011 Gruber, T.: Une approche de traduction pour les ontologies portables. Knowledge Acquisition 5(2), 199–220 (1993) Visser, P.: FRAMER: Source Code of a Legal Knowledge System that perform Assessment and Planning, Reports on Technical Research in Law, University of Leiden, Leiden, Pays-Bas, vol. 2(1) (1995) Valente, A. (2005). Arten und Rollen von Rechtsontologien. In : Benjamins, V.R., Casanovas, P., Breuker, J., Gangemi, A. (Hrsg.) Law and the Semantic Web. Lecture Notes in Computer Science(), bande 3369. Springer, Berlin, Heidelberg.
doi.org/10.1007/978-3-540-32253-5_5. Zeleznikow, J., Stranieri, A.: An Ontology for the Construction of Legal Decision Support Systems. In : Proceedings of the Second International Workshop on Legal Ontologies, Amsterdam, Pays-Bas (2001) Diese Schlüsselwörter wurden maschinell und nicht von den Autoren hinzugefügt. Dieser Prozess ist experimentell und die Schlüsselwörter können aktualisiert werden, wenn sich der Lernalgorithmus verbessert. Valente, A., Housel, T.: Analyse und Maximierung des ROI in Knowledge Management Tools. Knowledge Management Magazine (2002). LegOnt 2001: Actes du deuxième atelier international sur les ontologies juridiques. Amsterdam, Niederlande. URL www.lri.jur.uva.nl/jurix2001/legont2001.htm Themen: Rechtstheorien, Rechtsphilosophie, Rechtsgeschichte, Computerkommunikationsnetze, Rechtsphilosophie, Künstliche Intelligenz, Computeranwendung in Sozial- und Verhaltenswissenschaften Visser, P., Bench-Capon, T.: A comparison of four ontologies for the design of legal knowledge systems.
Artificial Intelligence and Law Journal 6(1) (1998) Guarino, N.: OntoWeb WP3 Content Standardization Month 18 report, online verfügbar unter www.ontoweb.org/workshop/ontoweb4/Ontoweb4_files/WP3ReportM18.ppt Fourni par l’initiative de partage de contenu Springer Nature SharedIt Valente, A., Breuker, J.: Towards Principled Core Ontologies. Dans: Gaines, B., Musen, M. (Hrsg.) Proceedings of the Tenth Workshop on Knowledge Acquisition for Knowledge-Based Systems (KAW 1996), Banff, S. 33/1–33/20 (1996) Valente, A.: Legal knowledge engineering: a modelling approach. IOS Press, Amsterdam (1995). Visser, P.R.S.: Wissensspezifikation für mehrere rechtliche Aufgaben. A Case Study of the Interaction Problem in the Legal Domain, Leiden University: doctoral thesis (1995) Fellbaum, C.: WordNet: An Electronic Lexical Database. Bradford Books (May 1998) Boer, A., Hoekstra, R., Winkels, R.: The CLIME Ontology. In: Proceedings of the Second International Workshop on Legal Ontologies, Amsterdam, The Netherlands (2001) Publishers: Giovanni Sartor, Pompeu Casanovas, Mariangela Biasiotti, Meritxell Fernández-Barrera Dieses Werk ist lizenziert unter einer Creative Commons Attribution-ShareAlike 4.0 International License. Bild von sebis Forschungsgruppe von Prof.
Florian Matthes (Technische Universität München). McCarty, L.T.: A Language for Legal Discourse, I. Basic Functionality. In: Proceedings of the Second International Conference on Artificial Intelligence and Law, Vancouver, Canada, pp. 180-189 (1989) Davis, R., Shrobe, H., Szolovitis, P.: What is knowledge representation? AI Magazine 14(1), 17–33 (1993) Leider ist für diesen Artikel derzeit kein teilbarer Link verfügbar.