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Title Knowledge-driven multimedia information extraction and ontology evolution : bridging the semantic gap / Georgios Paliouras, Constantine D. Spyropoulos, George Tsatsaronis (Eds.).
Imprint Berlin ; New York : Springer, 2011.

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Series Lecture notes in computer science, 0302-9743 ; 6050. Lecture notes in artificial intelligence
State-of-the-art survey
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 6050. 0302-9743
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science. State-of-the-art survey.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Multimedia systems.
Data mining.
Ontologies (Information retrieval)
Alt Name Paliouras, Georgios, 1970-
Spyropoulos, Constantine D., 1951-
Tsatsaronis, G. (George)
Description 1 online resource (ix, 243 pages) : color illustrations, color maps.
polychrome rdacc
Bibliography Note Includes bibliographical references and indexes.
Contents Bootstrapping Ontology Evolution with Multimedia Information Extraction -- Semantic Representation of Multimedia Content -- Semantics Extraction from Images -- Ontology Based Information Extraction from Text -- Logical Formalization of Multimedia Interpretation -- Ontology Population and Enrichment: State of the Art -- Ontology and Instance Matching -- A Survey of Semantic Image and Video Annotation Tools.
Summary 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.
Note Print version record.
ISBN 9783642207952 (electronic bk.)
3642207952 (electronic bk.)
ISBN/ISSN 10.1007/978-3-642-20795-2
OCLC # 733543214
Additional Format Print version: Knowledge-driven Multimedia Information Extraction and Ontology Evolution. Springer-Verlag New York Inc 2011 9783642207945 (DLC) 2011926569 (OCoLC)731916267

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