Data Analytics and Management in Data Intensive Domains

Selected Papers of the XVII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2015)

Obninsk, Russia, October 13-16, 2015.

Edited by

Leonid Kalinichenko *
Sergey Starkov **

* Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, Moscow, Russia
** Obninsk Institute for Nuclear Power Engineering, Obninsk, 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

Data Integration for Data Analysis

Heterogeneity of Data in DID

Subject Domain Modeling

Systems for Data Analysis

Information Extraction from Multistructured Data

Topic Modeling in Large Text Collections

Keynote Talk 2

Efficient Data Access and Computation in DID

Data Intensive Environments

Peculiar Texts Processing

Data intensive Analysis in Physics

Data Collections and Problem Solving in DID

Semantic Issues

Panel Stimulating Survey

Keynote Talk 3

Scientific Data and Process Infrastructure

Ph.D. Workshop

Workshop on Social Network Data Analysis

2015-12-11: submitted by Leonid Kalinichenko, Sergey Stupnikov, metadata incl. bibliographic data published under Creative Commons CC0
2015-12-11: published on CEUR-WS.org |valid HTML5|