Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree [* Cross-Reference *]

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Adnan Imeri; Abdelaziz Khadraoui; Thang Le Dinh; Djamel Khadraoui, 2017, "Personalization of Legal and Ethical Information in ICT Platforms: The Approach of Legal Decision Tree [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.9SWZ2E, LIST Open Repository, V1
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Description
This paper aims at presenting a theoretical approach for the representation of legal and ethical information in a personalized way in ICT platforms. The personalization process allows us to adapt the legal information for end- users of ICT platforms. This approach points out the key element for defining a complete legal and ethical corpus of documents. Based on the corresponding scenario, the legal information is selected, filtered and then presented in ICT platforms. For organizating and analyzing this legal and ethical information, we reuse the existing notion of the decision tree and enhance it with a set of legal parameters emerging from legal documents. This legal decision tree will help us to treat different types of legal cases, which may relate to different service scenarios. (2017-02-09)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.5539/cis.v10n1p77 for the original and latest version of the publication*** (2026-07-01)
Subject Business and Management; Social Sciences
Keyword Computer science, Personalization, Information and Communications Technology, Reuse, Representation (politics), Set (abstract data type), Decision tree, Process (computing), Key (lock), Tree (set theory), Knowledge management, Data science, World Wide Web, Data mining, Law, Computer security, Political science
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