Smart Information Systems

Computational Intelligence for Real-Life Applications

  • Frank Hopfgartner

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Smart Information Aggregation Services

    1. Front Matter
      Pages 1-3
    2. Cagdas Esiyok, Sahin Albayrak
      Pages 47-74
    3. Till Plumbaum, Funda Klein-Ellinghaus, Anna Reeske, Kristin Pelz, Frank Hopfgartner
      Pages 75-97
    4. Erwin Gunadi, Sahin Albayrak
      Pages 99-122
  3. Personalization and Recommendation Services

    1. Front Matter
      Pages 123-124
    2. Andreas Lommatzsch
      Pages 125-147
    3. Benjamin Kille, Andreas Lommatzsch, Torben Brodt
      Pages 149-180
    4. Till Plumbaum, Andreas Lommatzsch
      Pages 181-211
    5. Till Plumbaum, Benjamin Kille
      Pages 213-237
    6. Michael Meder, Brijnesh Johannes Jain, Till Plumbaum, Frank Hopfgartner
      Pages 239-268
  4. Sensor-Based Knowledge Acquisition and Signal Processing Services

    1. Front Matter
      Pages 269-270
    2. Stephan Spiegel
      Pages 271-289
    3. Esra Acar, Melanie Irrgang, Dominique Maniry, Frank Hopfgartner
      Pages 291-314
    4. Stephan Spiegel
      Pages 315-343
    5. Esra Acar, Marco Lützenberger, Marius Schulz
      Pages 345-368
  5. Back Matter
    Pages 369-372

About this book


This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence.

The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational manufacturers, service companies, and the public sector.

Topics and features:

  • Provides a state-of-the-art introduction to the field, integrating contributions from both academia and industry
  • Includes numerous individual use cases, which outline the need for smart information systems that help in typical situations faced by many on a daily basis
  • Reviews novel information aggregation services that illustrate how textual data can be employed to generate smart information services
  • Discusses personalization and recommendation systems that tailor information based on users’ individual preferences
  • Examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world

Offering practical and accessible guidance for the application of computational intelligence to solving real-world problems, this volume will prove invaluable to researchers and professionals involved in information retrieval, machine learning and data analysis.

Dr. Frank Hopfgartner is Director of the Competence Center Information Retrieval and Machine Learning of the Distributed Artificial Intelligence Laboratory, and lecturer at the Berlin Institute of Technology, Berlin, Germany.


Data Analysis Information Retrieval Knowledge Extraction Machine Learning NLP Recommender Systems Time Series Analysis

Editors and affiliations

  • Frank Hopfgartner
    • 1
  1. 1.Technische Universität BerlinGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-14177-0
  • Online ISBN 978-3-319-14178-7
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • Buy this book on publisher's site