The Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications

DBKDA 2019

June 02, 2019 to June 06, 2019 - Athens, Greece

Deadlines

Submission

Feb 20, 2019

Notification

Mar 26, 2019

Registration

Apr 09, 2019

Camera ready

Apr 20, 2019

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).

Publication

Published by IARIA Press (operated by Xpert Publishing Services)

Archived in the Open Access IARIA ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

DBKDA 2019 - The Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications

June 02, 2019 - June 06, 2019

DBKDA 2019: Awards

The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.

Awarded Papers

A Schema Readability Metric for Automated Data Quality Measurement
Lisa Ehrlinger, Gudrun Huszar, Wolfram Woess

Graph Learning for Prediction of Drug-Disease Interactions: Preliminary Results
Andrej Kastrin, Dimitar Hristovski

StrongDBMS: Built from Immutable Components
Malcolm Crowe, Santiago Matalonga, Martti Laiho

Exploring and Comparing Table Fragments With Fragment Summaries
Fatma-Zohra Hannou, Bernd Amann, Mohamed-Amine Baazizi

 

The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.

Papers Invited for IARIA Journals

Utilizing Citation Context in a Two-Level Topic Model for Knowledge Discovery
Lixue Zou, Li Wang, Xiwen Liu