AMSD2018: Workshop on Data-Driven Approaches for Analyzing and Managing Scholarly Data |
Website | http://amsd.iai.uni-bonn.de/ |
Submission link | https://easychair.org/conferences/?conf=amsd2018 |
Abstract registration deadline | May 4, 2018 |
Submission deadline | May 4, 2018 |
General
The main goals of AMSD 2018 are to facilitate access to scholarly data, to enhance the ability to assess the quality of scholarly data and to foster the development of analysis tools for scholarly data. With this workshop we encourage researchers from different fields (data management, information retrieval, digital libraries, graph databases, machine learning, recommender systems, visualization, etc.) to combine the resources in order to exploit the possibilities of scholarly data. We invite researchers to apply and adapt existing tools and techniques as well as to develop new concepts and applications for managing, analyzing and visualizing scholarly data.
Workshop topics and themes:
Data Management
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* Data models for the description and the linking of scholarly data
* Curation, annotation, and provenance of scholarly data
* Description of citations and citation networks
* Description and use of provenance information of scholarly data
* Integration of scholarly data
* Usage of semantic web techniques to open and interlink scholarly data in digital libraries and bibliographic websites
* Modelling licenses for scholarly documents and data
* Applications for the (semi-)automatic annotation of scientific papers
* Uniform systems combining multiple forms of scholarly data
* Accessing scholarly information from multiple devices (PC, tablet, smartphones)
* Novel user interfaces for interaction with paper, metadata, content, and data
The primary focus is on new and original research results but submissions describing innovative products, prototypes under development, interesting experiments (e.g., benchmarks) or ongoing scientific work are also encouraged.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
* full papers (up to 12 pages)
* position papers (up to 8 pages)
* demo papers (up to 6 pages)
* poster papers (up to 2 pages)
Committees
Program Chairs
- Andreas Behrend - Intelligent Database Group
- Christoph Lange
- Christiane Engels
Publicity Chair
- Said Fathallah - Smart Data Analytics
- Sahar Vahdati - Smart Data Analytics
Program Committee
- Andreas Behrend - University of Bonn
- Christiane Engels - University of Bonn
- Said Fathalla - University of Bonn
- Christoph Lange - Fraunhofer IAIS
- Jens Lehmann - Fraunhofer IAIS
- Rainer Manthey - University of Bonn
- Heba A. Mohamed - University of Bonn
- Sara Soliman - Alexandria University, Egypt
- Sahar Vahdati - Fraunhofer IAIS
- Hannes Voigt - Technische Universität Dresden
- Afshin Sadaghi - University of Bonn
Contact
All questions should be emailed to:
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