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Report on Digital Mobility Platforms and Ecosystems published

A report entitled Digital Mobility Platforms and Ecosystems has been published. The authors of the TUM Living Lab Connected Mobility elaborate on how to support the digital transformation in the area of Smart Mobility and Smart City. The project bundles the relevant research, implementation, and innovation skills of the Technical University of Munich in the fields of informatic and transport research. The research project contributes to the design and implementation of open, provider-independent digital mobility platforms. The actual commercial implementation of these platforms is carried out by leading digital providers based on the market requirements of customer-oriented mobility solutions. Another significant achievement of the project is the networking of already established and currently arising mobility providers, service providers, developers and users on a personal, organizational and technical level. Thus, the project contributes to the establishment of a mobility ecosystem, which is necessary for the success of the mobility platform. Thereby, smaller companies and start-ups are enabled to develop their own digital mobility services with reduced financial, organizational and technical effort.


Paper on A Data Science Environment for Semantic Analysis of German Legal Texts accepted

A paper has been accepted for publication at the Internationels Symposium on Legal Informatics (IRIS). In the paper entitled LEXIA - A Data Science Environment for Semantic Analysis of German Legal Texts, the author team consisting of Bernhard Waltl, Florian Matthes, Tobias Waltl, and Thomas Grass show how modern technologies of text mining algorithms can be applied to the legal texts. It shows how to consider the particularities of legal texts, such as laws or judgments, in the data model and provides a reference architecture for a collaborative data science environment.


Paper on Lessons Learned in Aligning Data and Model Evolution accepted

A paper has been accepted for publication at the International Conference on Software Engineering (ICSE). In the paper entitled Lessons Learned in Aligning Data and Model Evolution in Collaborative Information Systems, the author team consisting of Thomas Reschenhofer, Manoj Bhat, Adrian Hernandez-Mendez, and Florian Matthes elaborate on exprienced challenges in more than 5 years of applying a collaborative information system in research and industry projects. The goal of this paper is to provide a set of lessons learned which can serve as guidelines for the development of similar software systems.