Vol-1752
urn:nbn:de:0074-1752-7




[DAMDID]

DAMDID/RCDL 2016
Data Analytics and Management in Data Intensive Domains - Selected Papers


Selected Papers of the XVIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2016)

Ershovo, Moscow Region, Russia, October 11-14, 2016.


Edited by

Leonid Kalinichenko *
Yannis Manolpoulos **
Sergei Kuznetsov ***

* Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, Moscow, Russia
** Aristotle University, Department of Informatics, Thessaloniki, Greece
*** National Research University Higher School of Economics, Moscow, Russia

DAMDID/RCDL conference is formed as a result of transformation of the Russian Conference on Digital Libraries with an intention to create a forum reflecting the urgent challenges of data organization, exploration and analysis in various data intensive domains. The transformation is planned so that the continuity with RCDL should be preserved by the transformed conference as well as the RCDL community formed during the sixteen years of its successful work will also be preserved.

DAMDID/RCDL allows authors to submit their paper either in English or in Russian.
For the papers in Russian the abstracts in English are provided and are placed on the last pages of the papers.





Table of Contents

Keynote Talk 1

Semantic Modeling in Data Intensive Domains

Data Analysis Methods

Knowledge Management

Learning Management Systems

Semantic Search and Navigation

Pattern Analysis in Recommender Systems

Research Data Infrastructures in Astrophysics

Research Infrastructures in Material Sciences

Position Paper

Invited Talk

Data Extraction from Text

Data Integration, Sharing and Sensing

Text Analysis Systems

Keynote Talk 2

Research Infrastructures for Earth Monitoring

Data Infrastructures in Astronomy

Workshop on Data Intensive Healthcare

Ph.D. Workshop


2016-12-05: submitted by Leonid Kalinichenko, Sergey Stupnikov, metadata incl. bibliographic data published under Creative Commons CC0
2016-12-06: published on CEUR-WS.org |valid HTML5|