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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

Bridging the Semantic Gap

  • Book
  • © 2011

Overview

  • 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)

Keywords

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

  • Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”, Ag. Paraskevi, Greece

    Georgios Paliouras, Constantine D. Spyropoulos

  • Biotechnology Center (BIOTEC), TU Dresden, Dresden, Germany

    George Tsatsaronis

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