Titlebook: Advances in Conceptual Modeling; ER 2022 Workshops, C Renata Guizzardi,Bernd Neumayr Conference proceedings 2022 The Editor(s) (if applicab

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CSR-Kommunikation und Soziale Innovationen,h as the names of the parties, agents, lawyers or advisers of the parties and a report of the procedure followed) followed by some well-defined steps of the decision: the facts of the case; a summary of the arguments of the parties; the legal reasons; operational provisions. Similar criteria are als

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/147333.jpg

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Conference proceedings 2022kshops are included in this volume: Third International Workshop on Conceptual Modeling for Life Sciences (CMLS), 5th International Workshop on Empirical Methods in Conceptual Modeling (EmpER); and First International Workshop on Digital Justice, Digital Law and Conceptual Modeling (JUSMOD)..

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0302-9743 g, ER 2022, as a virtual event, in October 2022. The 11 papers deal with topics such as foundations; business information systems; advanced and cross-disciplinary applications, conceptual modeling, information systems and knowledge graphs; data/object management; engineering; and experience..The fol

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Susanne Hasenhüttl,Katharina Muner-Sammeres in order to retrieve relevant conceptual and terminological knowledge from legal documents. Moreover, in the paper we discuss some preliminary experimental results on a real dataset consisting of a corpus of Illinois State Courts’ decisions taken from the Caselaw Access Project (CAP).

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0302-9743 on Empirical Methods in Conceptual Modeling (EmpER); and First International Workshop on Digital Justice, Digital Law and Conceptual Modeling (JUSMOD)..978-3-031-22035-7978-3-031-22036-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-662-52871-6s crucial. This work reports the identification of the conceptual dimensions that are required to provide such context. Then, we instantiate the identified conceptual dimensions in a use case. Finally, the instantiated dimensions are integrated to provide semantic interoperability.

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Andrea Sihn-Weber,Franz Fischlerts impose the measure. To analyze and extract the relevant predictive-features, we rely on unsupervised learning approaches, in particular association and clustering methods. As a result, we found common factors between the two legal systems in terms of crime, location, grounds for appeal, and judge’s reasoning.