Editors:
- Presents the main achievements of the EC-sponsored BOEMIE Project
- With contributions by international experts
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6050)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”, Ag. Paraskevi, Greece
Georgios Paliouras, Constantine D. Spyropoulos
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Biotechnology Center (BIOTEC), TU Dresden, Dresden, Germany
George Tsatsaronis
Bibliographic Information
Book Title: Knowledge-Driven Multimedia Information Extraction and Ontology Evolution
Book Subtitle: Bridging the Semantic Gap
Editors: Georgios Paliouras, Constantine D. Spyropoulos, George Tsatsaronis
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-20795-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-20794-5Published: 19 May 2011
eBook ISBN: 978-3-642-20795-2Published: 06 May 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 245
Topics: Artificial Intelligence, Multimedia Information Systems, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Computational Linguistics