Call for Papers

BICOD solicits original research articles on all aspects of databases. Accepted papers will be published in a LNCS volume by Springer which will be available at the time of the conference. In order to avoid no-shows, only those papers will be published for which at least one author attends the conference and has payed the registration fee in full by the time of the first deadline.
Journal Issue (new)
A selected set of best papers will be invited to submit extended versions to an issue of The Computer Journal featuring the best work from BNCOD 2015.
Topics of Interest
It is a tradition of BNCOD to center the conference around a main theme, acting as a focal point for keynote addresses, tutorials, and research papers. The theme of BICOD 2015 is “Data Science”. By this we broadly mean the extraction of meaning from big data. We especially welcome papers within the realm of this theme. Relevant topics include the following:
Data stream processing
Index and synapsis structures
Probabilistic databases
Data privacy and security
Data mining and knowledge discovery
Data visualisation
NoSQL databases
Graph databases
Data integration
Data cleaning
Data provenance
The wider range of relevant topics for BICOD includes but is not limited to the following:
Data system architecture
Management of very large data systems
Data models and languages
XML and semi-structured data
RDF and graph-structured data
Multi-media, temporal and spatial data
Management of web and heterogeneous data
User interfaces and social data
Ontology-based data access
Ontology querying
Semantic query optimization
Submission Guidelines
The conference management tool for the submission of papers will be accessible at
http://www.easychair.org/conferences/?conf=bncod2015

Full papers (up to 12), short papers (up to 6 pages), system descriptions and demonstrations (up to 6 pages) may be submitted. Submissions are reviewed in a single-blind manner. They must be in PDF and formatted according to the Springer guidelines for the LNCS series:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0