Knowledge-driven multimedia information extraction and ontology evolution : bridging the semantic gap
Author(s)
Bibliographic Information
Knowledge-driven multimedia information extraction and ontology evolution : bridging the semantic gap
（Lecture notes in computer science, 6050 . Lecture notes in artificial intelligence）
Springer, c2011
- : pbk
Available at / 1 libraries
-
No Libraries matched.
- Remove all filters.
Note
Includes bibliographical references (p. 237-239) and index
"State-of-the-art survey"--Cover
Description and Table of Contents
Description
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.
Table of 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.
by "Nielsen BookData"