Data Analytics and Management in Data Intensive Domains

XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11 -14, 2016, Revised Selected Papers

  • Leonid Kalinichenko
  • Sergei O. Kuznetsov
  • Yannis Manolopoulos
Conference proceedings DAMDID/RCDL 2016

Part of the Communications in Computer and Information Science book series (CCIS, volume 706)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Semantic Modeling in Data Intensive Domains

    1. Front Matter
      Pages 1-1
    2. Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dmitry Yu Kovalev
      Pages 3-17
    3. Dmitriy Malakhov, Yuri Sidorenko, Olga Ataeva, Vladimir Serebryakov
      Pages 18-30
  3. Knowledge and Learning Management

    1. Front Matter
      Pages 31-31
    2. Alexander Elizarov, Alexander Kirillovich, Evgeny Lipachev, Olga Nevzorova
      Pages 33-46
  4. Text Mining

    1. Front Matter
      Pages 57-57
    2. Sophia Ananiadou, Paul Thompson
      Pages 59-73
  5. Data Infrastructures in Astrophysics

    1. Front Matter
      Pages 103-103
    2. Victor Gergel, Vladimir Korenkov, Igor Pelevanyuk, Matvey Sapunov, Andrei Tsaregorodtsev, Petr Zrelov
      Pages 105-118
    3. Nikolay A. Skvortsov, Leonid A. Kalinichenko, Dana A. Kovaleva, Oleg Y. Malkov
      Pages 119-129
    4. Vladimir A. Samodurov, Alexey S. Pozanenko, Alexander E. Rodin, Dmitry D. Churakov, Dmitry V. Dumskij, Evgeny A. Isaev et al.
      Pages 130-141
  6. Data Analysis

    1. Front Matter
      Pages 143-143
    2. Viacheslav Galaktionov, George Chernishev, Kirill Smirnov, Boris Novikov, Dmitry A. Grigoriev
      Pages 163-177
    3. Dmitry Namiot, Manfred Sneps-Sneppe
      Pages 192-204

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 28th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2016, held in Ershovo, Moscow, Russia, in October 2016.

The 16 revised full papers presented together with one invited talk and two keynote papers were carefully reviewed and selected from 57 submissions. The papers are organized in topical sections on semantic modeling in data intensive domains; knowledge and learning management; text mining; data infrastructures in astrophysics; data analysis; research infrastructures; position paper.

 

 

Keywords

clustering data mining database systems digital libraries Human Computer Interaction (HCI) Linked Open Data (LOD) machine learning named entity recognition Natural Language Processing (NLP) ontology semantic search semantics software engineering specifications text mining user interfaces

Editors and affiliations

  • Leonid Kalinichenko
    • 1
  • Sergei O. Kuznetsov
    • 2
  • Yannis Manolopoulos
    • 3
  1. 1.Federal Research Center “Computer Science and Control” of RASMoscowRussia
  2. 2.National Research University Higher School of EconomicsMoscowRussia
  3. 3.Aristotle University of ThessalonikiThessalonikiGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57135-5
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57134-8
  • Online ISBN 978-3-319-57135-5
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book