Sebis Research News

A paper has been accepted for publication at the European Semantic Web Conference. In the paper entitled "Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes", the author team (Yolanda Gil, Felix Michel, Varun Ratnakar, Jordan Read, Matheus Hauder, Christopher Duffy, Paul Hanson and Hilary Dugan) presents an approach to develop an organic data science framework based on a task-centered organization of the collaboration, including principles from social sciences for successful on-line communities, and exposes an open science process. Our approach is implemented as an extension of a semantic wiki platform, and captures formal representations of task decomposition structures, relations between tasks and users, and other properties of tasks, data, and other relevant science objects. All these entities are captured through the semantic wiki user interface, represented as semantic web objects, and exported as linked data. See [Gi15a]

A paper has been accepted for publication at the Intelligent User Interface conference. In the paper entitled "A Task-Centered Interface for On-Line Collaboration in Science", the author team (Felix Michel, Yolanda Gil, Varun Ratnakar and Matheus Hauder) presents the interface of the Organic Data Science Wiki to address scientific collaboration challenges. The solution is based on the Semantic MediaWiki and extends it with new features for scientific collaboration. Preliminary results from the usage of the interface are presented. See [Mi15a]

A paper has been accepted for publication at the International Symposium for Legal Informatic. In the paper entitled "Comparison of Law Texts: An Analysis of German and Austrian Legislation regarding Linguistic and Structural Metrics", the author team (Bernhard Waltl and Florian Matthes) discusses the analysis of legal texts regarding to linguistic metrics. Thereby, they extended an existing set of complexity indicators regarding linguistic and structural properties and applied them to Austrian and German laws. Based on the results that were generated, it is possible to formally compare laws and determine inter-subjective insights. See [Wa15a]

4 Doktoranden des sebis-Lehrstuhls sind mittlerweile Teil des IT-Führungskräfte-Programms Software Campus, nämlich Matheus Hauder, Thomas Reschenhofer, Bernhard Waltl und Marin Zec.

Das Programm eröffnet den Doktoranden exzellente Karriereperspektiven, indem es Spitzenforschung und Management-Praxis verbindet. Das vom Bundesministerium für Bildung und Forschung (BMBF) unterstützte Qualifizierungsprogramm wurde 2010 gestartet, um dem IT-Führungskräftemangel in Deutschland entgegenzuwirken. Deutschlandweit sind 159 IT-Doktoranden im Software Campus aktiv. Im Herbst startete der neue Jahrgang, darunter neun Teilnehmer der TUM.

Die Teilnehmer setzen im Software Campus ihr eigenes IT-Projekt um. Sie managen den gesamten Prozess ihres IT-Projekts selbständig mit Unterstützung der Forschungs- und Industriepartner: von der Projektplanung über die Beantragung finanzieller Mittel und das Management, die Koordination von Teams bis zum Abschluss des Vorhabens. Jedes Projekt wird mit bis zu 100.000 Euro über eine Projektlaufzeit von maximal zwei Jahren vom BMBF gefördert. Parallel dazu belegen sie Führungskräfteseminare. 

Der Software Campus ist ein Projekt mit vielen Partnern: Mit dabei sind die Technische Universität Berlin, die Technische Universität Darmstadt, das Karlsruher Institut für Technologie (KIT), die Technische Universität München, die Universität des Saarlandes, die Forschungspartner Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Fraunhofer-Verbund IuK-Technologie und Max-Planck-Institut für Informatik sowie die Industriepartner Robert Bosch GmbH, DATEV eG, Deutsche Post DHL, Deutsche Telekom AG, SAP AG, Scheer Group GmbH, Siemens AG, Software AG, Holtzbrinck Publishing Group und die Management-Partner EIT ICT Labs Germany GmbH. 

Die neue Bewerbungsphase startet im neuen Jahr 2015.

Weitere Informationen unter http://www.softwarecampus.de

 Der Originalartikel ist im Übrigen hier zu lesen.

A paper has been accepted for publication at the 27th International Conference on Legal Knowledge and Information Systems. In the paper entitled "Towards Measures of Complexity: Applying Structural and Linguistic Metrics to German Laws", the author team (Bernhard Waltl and Florian Matthes) discusses the complexity of legal texts regarding to linguistic metrics. Thereby, they present the result of the analysis of about 3553 German law texts by applying structural and lexical metrics to them. They calculated several structural and lexical indicators for complexity and determined highly significant correlations (p <= 0.01). The papers' contribution is a set of metrics, enabling a structured and objective comparison of legal texts regarding their complexity. See [Wa14c]