Semantic Models for Adaptive Interactive Systems

. Ed(s): Hussein, Tim; Paulheim, Heiko; Lukosch, Stephan; Ziegler, Jurgen; Calvary, Gaelle

ISBN 10: 1447153006 / ISBN 13: 9781447153009

Published by Springer London Ltd, 2013

Semantic Models for Adaptive Interactive Systems Editor(s): Hussein, Tim; Paulheim, Heiko; Lukosch, Stephan; Ziegler, Jurgen; Calvary, Gaelle. Series: Human-Computer Interaction Series. Num Pages: 216 pages, 58 black & white illustrations, 11 black & white tables, biography. BIC Classification: UB; UMZ; UNH; UYZG. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 14. Weight in Grams: 491. . 2013. annotated ed. Hardback. . . . . Seller Inventory # V9781447153009

Synopsis:

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.

From the Back Cover:

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.

Bibliographic Details

Title: Semantic Models for Adaptive Interactive ...
Publisher: Springer London Ltd
Publication Date: 2013
Binding: Hardcover
Condition: New