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  • Book
  • © 2013

Semantic Models for Adaptive Interactive Systems

  • Provides a comprehensive coverage of applying semantic models in user interface design
  • Includes state-of-the-art research ontologies in interactive systems
  • Presents many case studies in real world application domains
  • Includes supplementary material: sn.pub/extras

Part of the book series: Human–Computer Interaction Series (HCIS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages I-XII
  2. UI2Ont—A Formal Ontology on User Interfaces and Interactions

    • Heiko Paulheim, Florian Probst
    Pages 1-24
  3. Generating Models of Recommendation Processes out of Annotated Ontologies

    • Hermann Kaindl, Dominik Ertl, Roman Popp, Ralph Hoch, Jürgen Falb, Edin Arnautovic et al.
    Pages 25-42
  4. A Semantic Model for Adaptive Collaboration Support Systems

    • Stefan W. Knoll, Jordan Janeiro, Stephan G. Lukosch, Gwendolyn L. Kolfschoten
    Pages 59-81
  5. A Semantics-Based, End-User-Centered Information Visualization Process for Semantic Web Data

    • Martin Voigt, Stefan Pietschmann, Klaus Meißner
    Pages 83-107
  6. PASTREM: Proactive Ontology Based Recommendations for Information Workers

    • Benedikt Schmidt, Eicke Godehardt, Heiko Paulheim
    Pages 109-132
  7. Visualizing Search Results of Linked Open Data

    • Christian Stab, Dirk Burkhardt, Matthias Breyer, Kawa Nazemi
    Pages 133-149
  8. A Context-Aware Shopping Portal Based on Semantic Models

    • Tim Hussein, Timm Linder, Jürgen Ziegler
    Pages 151-167
  9. User Interaction Templates for the Design of Lifelogging Systems

    • Frank Hopfgartner, Yang Yang, Lijuan Marissa Zhou, Cathal Gurrin
    Pages 187-204

About this book

Providing insights into methodologies for designing adaptive systems based on semantic data, and introducing semantic models that can be used for building interactive systems, this book showcases many of the applications made possible by the use of semantic models.

Ontologies may enhance the functional coverage of an interactive system as well as its visualization and interaction capabilities in various ways. Semantic models can also contribute to bridging gaps; for example, between user models, context-aware interfaces, and model-driven UI generation. There is considerable potential for using semantic models as a basis for adaptive interactive systems. A variety of reasoning and machine learning techniques exist that can be employed to achieve adaptive system behavior. The advent and rapid growth of Linked Open Data as a large-scale collection of semantic data has also paved the way for a new breed of intelligent, knowledge-intensive applications.

Semantic Models for Adaptive Interactive Systems includes ten complementary chapters written by experts from both industry and academia. Rounded off by a number of case studies in real world application domains, this book will serve as a valuable reference for researchers and practitioners exploring the use of semantic models within HCI.

Editors and Affiliations

  • Interactive Systems Group, University of Duisburg-Essen, Duisburg, Germany

    Tim Hussein, Jürgen Ziegler

  • Data and Web Science Group, University of Mannheim, Mannheim, Germany

    Heiko Paulheim

  • Faculty of Technology, Policy & Manageme, Delft University of Technology, Delft, Netherlands

    Stephan Lukosch

  • Grenoble Informatics Laboratory, Grenoble Institute of Technology, Grenoble, France

    Gaëlle Calvary

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access