Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic GapPaperback, 19 May 2011

Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap
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Part of Series
State-Of-The-Art Survey
Part of Series
Lecture Notes in Artificial Intelligence
Part of Series
Lecture Notes in Computer Science
Print Length
245 pages
Language
English
Publisher
Springer
Date Published
19 May 2011
ISBN-10
3642207944
ISBN-13
9783642207945

Description

This book presents the state of the art in the areas of ontology evolution and knowledge-driven multimedia information extraction, placing an emphasis on how the two can be combined to bridge the semantic gap. This was also the goal of the EC-sponsored BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction) project, to which the authors of this book have all contributed. The book addresses researchers and practitioners in the field of computer science and more specifically in knowledge representation and management, ontology evolution, and information extraction from multimedia data. It may also constitute an excellent guide to students attending courses within a computer science study program, addressing information processing and extraction from any type of media (text, images, and video). Among other things, the book gives concrete examples of how several of the methods discussed can be applied to athletics (track and field) events.

Product Details

Book Format:
Paperback
Country of Origin:
NL
Date Published:
19 May 2011
Dimensions:
23.88 x 16.26 x 2.03 cm
ISBN-10:
3642207944
ISBN-13:
9783642207945
Language:
English
Location:
Berlin, Heidelberg
Pages:
245
Publisher:
Springer
Weight:
544.31 gm

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