GENERAL
SUBMISSIONS
PROGRAMM
ORGANIZATION
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Topics
We would encourage submission of papers covering one or more of the following topics:
Data models, schema development and scholarly analytics
i. |
Data models for and querying of scholarly data |
ii. |
Metadata identification |
iii. |
Data mining, knowledge and link discovery |
iv. |
Modeling, mining and querying crowd-sourced and user generated content |
v. |
Data analysis and metadata analytics, e.g. educational metadata, opencourseware |
vi. |
Artificial intelligence and machine learning in databases and information systems |
Facilitation and management
i. |
Large scale, web, semi-structured and crowd-sourced databases |
ii. |
Graph databases, knowledge graphs, clustering of networks, and citation analysis |
iii. |
Data analysis and metadata analytics, e.g. educational metadata, opencourseware |
iv. |
Data curation, annotation, and provenance |
v. |
Information extraction, data transformation, integration and interlinking |
vi. |
Data quality assessment |
vii. |
Platform development for scholarly data facilitation and management |
Software engineering and development of e-infrastructure
i. |
Text databases, information retrieval, and e-infrastructure |
ii. |
Metadata versioning |
iii. |
Data and information visualization; and user interfaces |
iv. |
Service usability tests |
v. |
Information system architectures and networking |
vi. |
Software engineering for scholarly communication |
vii. |
Requirements engineering for databases, information systems, and e-infrastructure |
vii. |
Novel database and information systems applications for scholarly data and communication |
The primary focus is on new and original research results but submissions describing innovative products, prototypes under development, interesting
experiments or ongoing scientific work are also encouraged.
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