| Vol-3257 urn:nbn:de:0074-3257-4 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Co10ons License Attribution 4.0 International (CC BY 4.0).

# AI4LEGAL-KGSUM 2022
Artificial Intelligence Technologies for Legal Documents and Knowledge Graph Summarization 2022

### Joint Proceedings of the 3th International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL 2022) and the 1st International Workshop on Knowledge Graph Summarization (KGSum 2022)
co-located with the 21st International Semantic Web Conference (ISWC 2022)

### Virtual Event, Hangzhou, China, October 23-24, 2022.

Edited by

### María Navas-Loro *
Carlos Badenes-Olmedo *
Manolis Koubarakis **
Jose Luis Redondo-García ***
Sabrina Kirrane ****
Nandana Mihindukulasooriya *****
Ken Satoh *******
Maribel Acosta *******

* Ontology Engineering Group, Universidad Politécnica de Madrid, Madrid, Spain
** National and Kapodistrian University of Athens, Department of Informatics and Telecommunications, University Campus, Ilisia, Athens, Greece
*** Amazon Alexa, Cambridge, UK
**** Vienna University of Economics and Business, Vienna, Austria
***** IBM Research AI, Dublin, Ireland
****** Principles of Informatics Research Division, National Institute of Informatics, 2 Chome-1-2 Hitotsubashi, Chiyoda City, Tokyo, Japan
******* Ruhr-University Bochum, Bochum, Germany

## Table of Contents

- Summary: There were 14 papers submitted for peer-review to this workshop. Out of these, 14 papers were accepted for this volume, 11 as regular papers and 3 as short papers.

### Session 1: AI4LEGAL

- A Use Case on GDPR of Modular-PROLEG for Private International Law 1-11
  Takahiro Sawasaki, Ken Satoh, Aurore Clément Troussel
- An Anonymization Tool for Open Data Publication of Legal Documents 12-21
  Arttu Oksanen, Eero Hyvönen, Minna Tamper, Jouni Tuominen, Henna Ylimaa, Katja Löytynoja, Matti Kokkonen, Aki Hietanen
- Building and Analyzing the Brazilian Legal Knowledge Graph 22-31
  Rilder S. Pires, Henrique Santos, Ricardo Guedes, João A. Monteiro Neto, Carlos Caminha, Vasco Furtado
- Introduction of Artificial Intelligence in Belgian Court: Failures, Challenges and Opportunities 32-40
  Henri Arno, Wim De Mulder
- LawSampo Portal and Data Service for Publishing and Using Legislation and Case Law as Linked Open Data on the Semantic Web 41-50
  Eero Hyvönen, Minna Tamper, Esko Ikkala, Mikko Koho, Rafael Leal, Joonas Kesäniemi, Arttu Oksanen, Jouni Tuominen, Aki Hietanen
- Finding Case Law: Leveraging Machine Learning Research to Enhance Public Access to UK Judgments 51-61
  Amy Conroy, Editha Nemsic, Daniel Hoadley, Imane Hafnaoui
- Evaluation of Data Augmentation for Named Entity Recognition in the German Legal Domain 62-72
  Robin Erd, Leila Feddoul, Clara Lachenmaier, Marianne Jana Mauch
- Towards Building a Legal Virtual Assistant Based on Knowledge Graphs 73-78
  Douglas Raevan Faisal, Fariz Darari, Berty Chrismartin, Lumban Tobing, On Lee
- An Indian Court Decision Annotated Corpus and Knowledge Graph 79-90
  Pariskhit Kamat, Shubham Kalson, Suraj S, Pooja Harde, Nandana Mihindukulasooriya, Sarika Jain
- NextProcurement: Challenges in Public Procurement in Spain 91-99
  María Navas-Loro

### Session 2: KGSum

- Narrativizing Knowledge Graphs 100-111
  Robert Porzel, Mihai Pomarlan, Laura Spillner, John Bateman, Thomas Mildner, Carlo Santagiustina
- Concrete Names for Complex Expressions in Ontologies: A Case Study on SNOMED CT 112-124
  Christian Kindermann, Martin Georg Skjæveland
- Summaries of Knowledge Graph Entities: First Steps to Measure the Relevance of Symptoms to Infer Diseases 125-135
  Miguel Ángel Rodríguez-García, Carlos Badenes-Olmedo, Soto Montalvo Herranz
- Towards More Informative List Verbalisations 136-146
  Lea Krause, Pia Sommerauer, Piek Vossen

2022-10-24: submitted by María Navas-Loro, metadata incl. bibliographic data published under Creative Commons CC0
2022-11-01: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|