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Titlebook: Knowledge-Driven Multimedia Information Extraction and Ontology Evolution; Bridging the Semanti Georgios Paliouras,Constantine D. Spyropoul

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书目名称Knowledge-Driven Multimedia Information Extraction and Ontology Evolution
副标题Bridging the Semanti
编辑Georgios Paliouras,Constantine D. Spyropoulos,Geor
视频video
概述Presents the main achievements of the EC-sponsored BOEMIE Project.With contributions by international experts
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Knowledge-Driven Multimedia Information Extraction and Ontology Evolution; Bridging the Semanti Georgios Paliouras,Constantine D. Spyropoul
描述.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..
出版日期Book 2011
关键词automated reasoning; knowledge processing; multimedia content analysis; ontology learning; semantic repr
版次1
doihttps://doi.org/10.1007/978-3-642-20795-2
isbn_softcover978-3-642-20794-5
isbn_ebook978-3-642-20795-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
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Georgios Paliouras,Constantine D. Spyropoulos,GeorPresents the main achievements of the EC-sponsored BOEMIE Project.With contributions by international experts
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Ontology Population and Enrichment: State of the Art, along dimensions that emphasize the particular interests of the BOEMIE project. In this context, ontology learning in BOEMIE is treated and compared to the state of the art, explaining how BOEMIE addresses problems observed in existing systems and contributes to issues that are not frequently considered by existing approaches.
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Logical Formalization of Multimedia Interpretation,m all modalities is indispensable, and high-level descriptions of multimedia content are required. These symbolic descriptions, also called deep-level semantic annotations, play a crucial role in facilitating expressive multimedia retrieval. Even for text-based retrieval systems, deep-level descriptions of content are useful (see, e.g., [7]).
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