Sebis Research News

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]

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]