Knowledge-Driven Multimedia Information Extraction and Ontology Evolution Bridging the Semantic Gap /

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 r...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Paliouras, Georgios (Editor ), Spyropoulos, Constantine D. (Editor ), Tsatsaronis, George (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Lecture Notes in Artificial Intelligence, 6050
Temas:
Artificial intelligence.
Multimedia systems.
Information storage and retrieval systems.
Application software.
Computational linguistics.
Artificial Intelligence.
Multimedia Information Systems.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Computational Linguistics.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:IX, 245 p. online resource.
ISBN:9783642207952
ISSN:2945-9141 ;

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