Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap (Lecture Notes in Computer Science #6050)
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Fulfillment optionsKnowledge-Driven Multimedia Information Extraction and Ontology Evolution
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.
Details
- Publisher
- Springer Berlin Heidelberg
- Format
- Paperback
- Published
- May 19, 2011
- ISBN-13
- 9783642207945
- Pages
- 245
- Printing
- Printed on demand
Knowledge-Driven Multimedia Information Extraction and Ontology Evolution for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $48.39 | 12% off list |
| 50 – 99 | $47.84 | 13% off list |
| 100+ | $47.29 | 14% off list |
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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution: Bridging the Semantic Gap (Lecture Notes in Computer Science #6050)
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