[AISWorld] AMSD 2017 Extended and Final Deadline (ADBIS Workshop)

[behrend]

**********************************************************************
      1st International Workshop on Data-Driven Approaches for Analyzing
                      and  Managing Scholarly Data 2017
                AMSD'2017 held in conjunction with ADBIS 2017
                    September 24th, 2017, Nicosia, Cyprus
                      URL: http://amsd.iai.uni-bonn.de/

**********************************************************************
Important dates
Submission Deadline (extended):
     May  31th, 2017 (final and firm) <-- NEW DEADLINE
Acceptance Notification (extended):
     June 11th, 2017 <-- NEW DEADLINE
Camera-Ready Submission:
     June 25th, 2017

The main goals of AMSD 2017 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
===============
o Data models for the description and the linking of scholarly data
o Curation, annotation, and provenance of scholarly data
o Description of citations and citation networks
o Description and use of provenance information of scholarly data
o Integration of scholarly data
o Usage of semantic web techniques to open and interlink scholarly data
    in digital libraries and bibliographic websites
o Modelling licenses for scholarly documents and data
o Applications for the (semi-)automatic annotation of scientific papers
o Uniform systems combining multiple forms of scholarly data
o Accessing scholarly information from multiple devices (PC, tablet,
    smartphones)
o Novel user interfaces for interaction with paper, metadata, content, 
and data

Analytics
=========
o Assessing the quality and/or trust of scholarly data
o Pattern discovery of scholarly data
o Citation analysis, prediction, and visualization
o Scientific claims identification from textual contents
o New indicators for measuring the quality and relevance of research
o Comparison between standard metrics (e.g., h-index, impact factor,
    citation counting) and alternative metrics in real-case scenarios
o Automatic or semi-automatic approaches to making sense of research
    dynamics
o Content- and data-based semantic similarity of scholarly papers
o Automatic semantic enhancement of existing scholarly libraries and
    papers
o Reconstruction, forecasting and monitoring of scholarly data
o Recommender systems for scientific events
o Applications for making sense of scholarly data

Submission details
==================
Submissions should present original results and substantial new work not 
currently under review or published elsewhere. This workshop accepts the 
following kind of papers covering one or more of the above mentioned topics:
* full papers (up to 10 pages)
* position papers (up to 8 pages)
* demo/short papers (up to 6 pages)
* poster papers (up to 2 pages)

Publication
===========
All accepted ADBIS 2017 workshop papers will be published by Springer in 
'Communications in Computer and Information Science'. Selected workshop 
papers may be invited for publication in a journal.
The best papers will be published in:

- International Journal of Applied Mathematics and Computer Science
    (AMCS) (De Gruyter), 5-Year Impact Factor: 1.151

- Foundations of Computing and Decision Sciences (De Gruyter)


Chairs
======
* Andreas Behrend, University of Bonn, Bonn, Germany
* Christoph Lange  Fraunhofer Institute IAIS/University of Bonn,Germany
* Christiane Engels, University of Bonn, Bonn, Germany
* Sahar Vahdati, University of Bonn, Bonn, Germany


-- 
PD Dr. Andreas Behrend | Assistant Professor
Institute of Computer Science III
University of Bonn, Germany

Phone:  +49 (0)228 734533
Fax:    +49 (0)228 734382
E-mail: behrend at cs.uni-bonn.de
http://www.idb.uni-bonn.de/

-------------- next part --------------
A non-text attachment was scrubbed...
Name: behrend.vcf
Type: text/x-vcard
Size: 336 bytes
Desc: not available
URL: <http://lists.aisnet.org/pipermail/aisworld_lists.aisnet.org/attachments/20170508/1a433538/attachment.vcf>