Sebis Research News

A paper has been accepted for publication at the eScience conference. In the paper entitled "A Task-Centered Framework for Computationally-Grounded Science Collaborations", the author team (Yolanda Gil, Felix Michel, Varun Ratnakar, Matheus Hauder Christopher Duffy, and Paul Hanson) presents the Organic Data Science framework to support scientific collaborations that revolve around complex science questions that require significant coordination, entice contributors to remain engaged for extended periods of time, and enable continuous growth to accommodate new contributors as the work evolves over time. We discuss how the design of this framework incorporates principles followed by successful on-line communities.  We present initial results to date of several communities that are collaborating using this framework. See [Gi15c]

The LexAlyze research cooperation between the sebis Chair and the LMU addresses cutting-edge research questions at the interface between informatics and legal sciences. Prof. Dr. Florian Matthes and Prof. Dr. Hans Christoph Grigoleit scientifically guide the cooperation. More information about the research program and how to get in contact on www.lexalyze.de and www.en.lexalyze.de.

A paper has been accepted for publication at the International Conference on Business Information Systems. In the paper entitled "Empowering End-Users to Collaboratively Structure Process for Knowlegde Work", the author team (Matheus Hauder, Rick Kazman and Florian Matthes) present a software solution that can be used for a variety of different use cases to support knowledge-intensive processes. The solution is based on a wiki that provides lightweight structuring concepts, e.g. tasks, attributes, roles and types. Best practices knowledge on knowledge-intensive processes can be generalized in work templates for recurring use. 

A paper has been accepted for publication at the Americas Conference on Information Systems conference. In the paper entitled "A Virtual Crowdsourcing Community for Open Collaboration in Science Processes", the author team (Felix Michel, Yolanda Gil, Varun Ratnakar and Matheus Hauder) presentsa virtual crowdsourcing community for open collaboration in science processes to address these challenges. Our solution is based on the Semantic MediaWiki and extends it with new features for scientific collaboration. We present preliminary results from the usage of the interface in a pilot research project. See [Mi15b]

A paper has been accepted for publication at the European Semantic Web Conference. In the paper entitled "A Semantic, Task-Centered Collaborative Framework for Science", the author team (Yolanda Gil, Felix Michel, Varun Ratnakar and Matheus Hauder) presents an overview of the Organic Data Science framework, a new approach for scientific collaboration that opens the science process and exposes information about shared tasks, participants, and other relevant entities. The framework enables scientists to formulate new tasks and contribute to tasks posed by others. The framework is currently in use by a science community studying the age of water, and is beginning to be used by others. See [Gi15b]