CEILI Workshop on LEGAL DATA ANALYSIS
http://ceili.eu/LDA2019
11 December 2019, 9-13 hours, room #3
held in conjunction with
JURIX2019
11-13 December 2019, Madrid, Spain
ETSI Minas y Energía School
Universidad Politécnica de Madrid
https://jurix2019.oeg-upm.net
Workshop Organizers:
Michal Araszkiewicz, Erich Schweighofer, Bernhard Waltl
Programm
Session 1 – 9-11 hours; chair: Erich Schweighofer
- Introduction to the topic of Legal Data Analysis by the Chairs
- Methods for Computing Legal Document Similarity: A Comparative Study
- Citation Data of Czech Apex Courts
- On the use of Ontology Design Pattern for Legal Knowledge Base Engineering
11-11.30 Coffee break
Session 2 – 11.30-13 hours: chair: Bernhard Waltl
- Hearings-based automatic construction of models and indicators
- Roundtable – chairs and experts on legal data analysis
- Invited Statement by Stefan Eder, Requirements for Legal Digital Processus in an Corporate Environment
Motivation
The 5th Workshop on Legal Data Analysis (LDA2019) of the Central European Institute of Legal Informatics (CEILI) will be held in conjunction with JURIX2019, Wednesday December 11th, 2019, Madrid, Spain. It is a continuation of the successful LDA workshops in 2015-2018.
It intends to focus on representation, analysis and reasoning with legal data in information systems from a lawyer’s and citizen’s perspective; trying to get support in mastering big data in law but also respecting privacy issues.
The pervasive use of information systems has led to tremendous success in enterprises and businesses. With a user-centric design, information systems (IS) have proven their value in today’s companies on several occasions. Most recent developments have unveiled unexpected possibilities in overcoming the retrieval constraints of access to legal knowledge. In law, the need arises for both legal databases as well as huge data volumes of cases. Market solutions are already available.
However, theoretical work and practical reflection for time-, data-, and knowledge-intensive tasks, which most of the tasks in legal science and legal practice are still highly relevant. Pre-defined formal models of legal knowledge and semantic documents allow semantics of textual and structural information with tools of Natural Language Processing, Named Entity Recognition, Network Analysis, Information Retrieval and additional analysis and measurements. This workshop particularly encourages submissions describing concrete user problems, needs and concerns in the context of legal data and legal analysis and theoretical reflection.
This workshop is intended to be a forum for discussion of research ideas, questions and developments addressing all kind of concrete user support in processes related to the representation, analysis and reasoning on legal information and data analysis.
Participation is most welcome on all topics relevant to these research domains, including:
- Reasoning with legal information and legislative texts (including contracts and patents)
- Modeling and design of legal information, legislative texts, electronic contracts and SLAs
- Usage of ontologies in information systems to support representation, analysis and reasoning on legal information
- Analysis of the network like structure of legal systems and legislations
- Forecast and prediction models on legal data
- Big Data analysis of textual information In large legal text corpora
- Access to Data and Open Data Initiatives
- User stories and use cases of legal analysis in combination with IS
- Predictive Coding
- Natural Language Processing in IS
- Multi-lingual aspects of NLP in the legal domain
- Interoperability of logic frameworks and natural language processing
- Drawbacks and limitations of logic frameworks, natural language processing, usage of ontologies in IS, etc.
- Measurements, such as quantitative linguistics, and correlations on legal data
- Information retrieval in IS, including optimization, reformulation, refinement and expansion of queries and facets
- Semantic relations in electronic files
- Societal impact of emerging IS technology in the legal domain
- Argumentation mining
- Legal interpretation modelling (including judicial interpretation and doctrinal interpretation)
- Technical solutions to privacy and big data issues
We invite researchers to submit their original papers (drafts 4-10 pages, final papers: 8 pages, 2400 words) on these themes. In case of acceptance, the paper will be included in the workshop materials and later extended versions published in Jusletter IT (http://www.jusletter-it.eu).
Format & audience
1/2 day workshop with paper presentations and 1 panel discussion
6 papers, 5 panelists, about 15-20 particpants
Organizers
Dr. Michal Araszkiewicz, Jagiellonian University, Kraków
Prof. Dr. Dr. Erich Schweighofer, University of Vienna
Dr. Bernhard Waltl, BMW Research
Programme Committee (tbc)
Workshop participants will be selected by a peer review of abstracts by the Programme Committee.
Prof. Dr. Witold Abramowicz, University of Business Administration, Poznan
Dr. Wolfgang Alschner, University of Ottawa
Dr. Michal Araszkiewicz, Jagiellonian University, Kraków
Prof. Dr. Kevin Ashley, University of Pittsburgh
Prof. Dr. Zsolt Balogh, Corvinus University of Budapest
Prof. Dr. Danièle Bourcier, Université de Paris II & CNRS
Prof. Dr. Vytautas Čyras, University of Vilnius
Dr. Enrico Francesconi ITTIG Florence
Prof. Dr. Fernando Galindo, University of Zaragoza, Spain
Dr. Matthias Grabmair, Carnegie Mellon University, Pittsburgh
Franz Kummer, Weblaw & Universität Bern, Bern
Prof. Dr. Florian Matthes, Technische Universität München
Yannis Panagis,University of Copenhagen
Prof. Dr. Monica Palmirani, CIRSFID, University of Bologna
Dr. Radim Polčak, Masaryk University, Brno
Dr. Martin Rollinger, SINC, Wiesbaden
Prof. Dr. Giovanni Sartor, European University Institute & University of Bologna
Jaromir Savelka,University of Pittsburgh
Prof. Dr. Dr. Erich Schweighofer, University of Vienna, Austria
Prof. Dr. Ted Sichelman,University of San Diego, School of Law
Dr. Noam Slonim, IBM Haifa Research Lab
Prof. Dr. Vern Walker, Hofstra University
Dr. Bernhard Waltl, BMW Research
Prof. Dr. Adam Wyner, University of Swansea
Tomasz Zurek, Maria Curie-Sklodowska University in Lublin
Dates
15 November 2019: Submission of draft paper extended 30 November 2019
24 November 2019: Notification of acceptance extended 2 December 2019
30 November 2019: Submission of nearly final version of paper for workshop documentation + 5 days possible
11 December 2019: workshop at JURIX2019
21 December 2019: final version of paper for on-line publication in Jusletter IT (tbc)
Submission of Abstracts and Papers
Via the Easychair conference system
https://easychair.org/conferences/?conf=lda2019
Requests and Information
Erich Schweighofer, erich.schweighofer@univie.ac.at
Short Profiles of the organisation and the organisers
The Central European Institute of Legal Informatics intends to provide a platform of scientific exchange on legal informatics in the Central European region and neighbouring countries. Established in 2015, it tries to stimulate and improve long-standing informal networks between researchers in this region.
Prof. Dr. Dr. Erich Schweighofer
University of Vienna, Centre for Computers and Law
Schottenbastei 10-16/2/5, 1010 Wien AT
Tel. +43 1 4277 35305, Fax +43 1 4277 9353
Erich.Schweighofer@univie.ac.at
rechtsinformatik.univie.ac.at
Erich Schweighofer is Professor of Legal Informatics, International Law and European Law & Head of the Centre of Legal Informatics at the University of Vienna (http://rechtsinformatik.univie.ac.at). He has over twenty-five years experience of funded research in legal informatics. He holds degrees in law, informatics, economics and international relations.
His technical background includes all aspects of law in the knowledge society, in particular legal retrieval systems, legal ontologies, semiautomatic text analysis and document categorisation, digital forensic, digital signatures etc. He was head or local co-ordinator of many research projects.
He chairs the legal informatics groups in Germany (GI Gesellschaft für Informatik) and Austria (OCG Austrian Computer Society). Every year, he organizes the well-known Legal Informatics Conference IRIS (http://www.univie.ac.at/RI/IRIS2020).
Dr. Michał Araszkiewicz, Jagiellonian University, Kraków
Department of Legal Theory, Jagiellonian University
Ul. Bracka 12, 31-005 Kraków, Poland
http://www.law.uj.edu.pl/ktp/pracownicy/ma/
Michał Araszkiewicz has published more than 40 peer reviewed papers in the fields of legal philosophy, legal argumentation, logic and AI & Law. Member of the Executive Committee of the International Association for Artificial Intelligence and Law. He acts as the Vice-President of the ArgDiaP organization, concerned with research on theory and practice of argumentation, and a founding member of Centre for Alternative Dispute Resolution at the Jagiellonian University. Michał Araszkiewicz obtained fellowships from the SYLFF foundation, the Foundation for Polish Science and from the Minister of Science and Higher Education. He is also admitted to practice as a legal advisor in Poland. He serves as an expert in the Centre for Research, Study and Legislation of the Polish Chamber of Legal Advisors and in the independent think-tank INPRIS – the Institute for Law and Society.
Bernhard Waltl, BMW Research, (formerly) University of Technology, Munich
bernhard.waltl@outlook.com
Bernhard Waltl is working as a scientist in the private sector. Formerly, he has been a research associate at the chair for Software Engineering of Business Information Systems (sebis) at the Technische Universität München since May 2014. He holds a master’s degree in Informatics from the Technische Universität München. Additionally, he holds a master’s degree in Philosophy of Science and Technology (WTPhil) from the Munich Center for Technology in Society (MCTS), with a focus on philosophy of science, complexity and risks.
His research area includes modelling and management of legal obligations and the analysis of legal texts. Within his research he cooperates with leading legal scientists and practitioners. More detailed information about this cooperation can be found on www.lexalyze.de and www.en.lexalyze.de.