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SaToS wins prize for best Poster at the CKI Conference 2018

The SaToS - Software Aided Analysis of Terms of Services poster from Daniel Braun, Elena Scepankova, Patrick Holl, and Florian Matthes won the prize for the best poster at the CKI conference 2018.

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Two SEBIS Paper were nominated for LexisNexis Best Paper Award

Two papers of SEBIS were nominated for the LexisNexis Best Paper Award at IRIS 2018.

The first paper is about Named Entity Recognition, Extraction, and Linking in German Legal Documents and was written by Ingo Glaser, Benrhard Waltl and Florian Matthes. Please look here for furhter information about this paper.

The second paper from Daniel Braun, Elena Scepankova, Patrick Holl, and Florian Matthes is titled Customer-Centered LegalTech: Automated Analysis of Standard Form Contracts.


Paper titled Supporting Large-Scale Agile Development with Domain-driven Design by Ömer Uludag, Matheus Hauder, Martin Kleehaus, Christina Schimpfle, and Florian Matthes accepted at XP 2018

Abstract:

An increasing number of large organizations are adopting agile and lean methods at larger scale for building complex software systems. One major critique of agile development and in particular of large-scale agile development is the neglect of proper architecting assistance in such development efforts. On the one hand, emergent architecture design may require excessive redesign efforts in large systems, while on the other hand, big upfront architecture delays the starting point of implementation. Domain-driven Design (DDD) addresses this problem by providing means for evolving the architecture of complex systems in an agile way. We describe how DDD can support large-scale agile development based on a conducted case study in a large insurance company with three agile teams. Furthermore, we present a framework for large-scale agile development that is largely based on Large-Scale Scrum and incorporates strategic and tactical DDD.


Paper on From Expert Discipline to Common Practice - A Vision and Research Agenda for Extending the Reach of Enterprise Modelling published in Business & Information Systems Engineering (BISE) Journal

A joint paper with eight Enterprise Architecture and Enterprise Modelling chairs from five countries with the title "From Expert Discipline to Common Practice: A Vision and Research Agenda for Extending the Reach of Enterprise Modeling" has been accepted by the prestigious Information Systems journal "Business and Information Systems Engineering (BISE"). The article can be found here.

Abstract

The benefits of enterprise modeling (EM) and its contribution to organizational tasks are largely undisputed in business and information systems engineering. EM as a discipline has been around for several decades but is typically performed by a limited number of people in organizations with an affinity to modeling. What is captured in models is only a fragment of what ought to be captured. Thus, this research note argues that EM is far from its maximum potential. Many people develop some kind of model in their local practice without thinking about it consciously. Exploiting the potential of this “grass roots modeling” could lead to groundbreaking innovations. The aim is to investigate integration of the established practices of modeling with local practices of creating and using model-like artifacts of relevance for the overall organization. The paper develops a vision for extending the reach of EM, identifies research areas contributing to the vision and proposes elements of a future research agenda.


Paper on Semantic Text Matching of Contract Clauses and Legal Comments in Tenancy Law accepted

 

A full paper has been accepted for presentation and publication for the IRIS Conference 2018 in Salzburg entiteled "Semantic Text Matching of Contract Clauses and Legal Comments in Tenancy Law". The authors present an innovative approach to support lawyers in the processes of contract drafting, editing and analysing. Legal comments on German tenancy law contain condensed knowledge that supports contract writers. The approach supports lawyers by providing relevant information from legal comments and practitioner books. The approach also allows to select an arbitrary length text passage of interest and displays relevant corresponding information inline. It is based on text relatedness measures, in particular tf-idf and word embeddings, and is an instance of the semantic text matching problem.

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