The 1st Workshop on
Data-Driven Approaches for
Analyzing and Managing Scholarly Data
September 24, 2017
In this workshop we want to encourage researchers from different fields (data management, information retrieval, digital
libraries, graph databases, machine learning, recommender systems, visualization, etc.) to combine their resources in
order to exploit the possibilities of scholarly data.
Despite the existence of several search engines, bibliography websites and digital libraries (e.g., Google Scholar , CiteSeerX , Microsoft Academic
Search, DBLP, arXiv etc.) a comprehensive content analysis beyond title and abstract is not supported yet.
Our global vision is a uniform system combining all forms of scholarly data offering a comprehensive semantic search and
advanced analytics including:
- knowledge extraction and reasoning about scientific publications and events,
- quality assessment of scientific publications and events, e.g. via rankings or quality metrics,
- recommender systems for conferences and workshops, and
- identification of research schools and key papers or key researcher within a field using citation analysis.
The main goals of this workshop are to facilitate the access of scholarly data, to enhance the ability to assess the
quality of scholarly data and to foster the development of analysis tools for scholarly data. The following topics will be addressed:
The expected outcomes of the workshop include:
- managing scholarly data, i.e. representation, categorization, connection and integration of scholarly data
in order to foster reusability, knowledge sharing, and analysis
- analyzing scholarly data, i.e. designing and implementing novel and scalable algorithms for knowledge extraction
and reasoning about and assessing the quality of scientific publications and events with the aim of forecasting research
trends, establishing recommender systems, and fostering connections between groups of researchers
- applications on scholarly data, i.e. providing novel user interfaces and applications for navigating and making
sense of scholarly data and highlighting their patterns and peculiarities
(for a more comprehensive list please refer to Topics at a Glance).
- Scientific papers and presentations that show the latest developments in applying database and machine learning technologies
to scholarly data management, analytics and visualization
- Networking opportunities for participants from different fields to identify common grounds and collaboration opportunities
as well as open gaps
The workshop will be held in conjunction with the 21th European Conference on
Advances in Databases and Information Systems (ADBIS 2017) September 24-27, 2017, Nicosia, Cyprus.
For registration, please refer to the ADBIS 2017 main websites: http://cyprusconferences.org/adbis2017/registration.html
Submissions should present original results and substantial new work not currently under review or published elsewhere.
This workshop accepts regular research papers (up to 10 pages) and short papers (up to 6 pages). Papers must comply with
the Springer formatting guidelines (instructions for authors are available at
Papers should be formatted in LATEX and submitted in PDF format using the online submission system
Workshop papers will be published by Springer-Verlag in the 'Communications in Computer and Information Science' (CCIS) series.
The best papers will be published in:
The authors of the best workshop papers will be invited to prepare extended versions of their papers after the workshop. Following an additional round of reviews, the extended papers
will appear in a special issue of Information System frontiers, Springer (Impact Factor = 0.761).
- 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)
|Submission of papers: || May 31, 2017 (23:59 Hawaii Standard Time)|
|Notification of acceptance: || June 11, 2017 (23:59 Hawaii Standard Time)|
|Camera-ready papers: || June 25, 2017|
|Workshop Date: || September 24, 2017||