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Knowledgedriven Multimedia Information Extraction And Ontology Evolution Bridging The Semantic Gap 1st Edition Georgios Paliouras Auth

  • SKU: BELL-4142400
Knowledgedriven Multimedia Information Extraction And Ontology Evolution Bridging The Semantic Gap 1st Edition Georgios Paliouras Auth
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Knowledgedriven Multimedia Information Extraction And Ontology Evolution Bridging The Semantic Gap 1st Edition Georgios Paliouras Auth instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 7.84 MB
Pages: 245
Author: Georgios Paliouras (auth.), Georgios Paliouras, Constantine D. Spyropoulos, George Tsatsaronis (eds.)
ISBN: 9783642207952, 3642207952
Language: English
Year: 2011
Edition: 1

Product desciption

Knowledgedriven Multimedia Information Extraction And Ontology Evolution Bridging The Semantic Gap 1st Edition Georgios Paliouras Auth by Georgios Paliouras (auth.), Georgios Paliouras, Constantine D. Spyropoulos, George Tsatsaronis (eds.) 9783642207952, 3642207952 instant download after payment.

This book aims to cover the state of the art in the fields of ontology evolution and information extraction from multimedia, while also promoting the synergy between these two fields. The contents stem largely from the research work conducted over a period of three years under the framework of the research project BOEMIE (Bootstrapping Ontology Evolution with Multimedia Information Extraction). The book is designed to provide researchers, practitioners, and students with basic knowledge and skills presenting a sound theoretical framework as well as concrete examples of applications. The book is organized in eight chapters. The first chapter provides an overview of the BOEMIE project and its main achievements. The second chapter presents current approaches to the representation of knowledge about multimedia using ontologies. The following two chapters provide the state of the art in extraction methods for two important types of multimedia content, i.e. image and text. The fifth chapter covers the automated reasoning process, where the authors attempt to bridge content and knowledge in a process inspired by human reasoning based on perception. The next two chapters provide the state of the art in ontology learning, population and matching, while the last chapter gives a survey of tools that are useful for the annotation of multimedia content with semantics, i.e. concepts and relations that have a particular meaning in the application domain.

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