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LEADER 00000cam 2200637Ii 4500
006 m o d
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008 110629s2011 gw ab ob 001 0 eng d
020 9783642207952|q(electronic bk.)
020 3642207952|q(electronic bk.)
024 7 10.1007/978-3-642-20795-2|2doi
050 4 QA76.575|b.K56 2011
072 7 TJFM1|2bicssc
072 7 COM004000|2bisacsh
072 7 UYQ|2bicssc
082 04 006.7|222
245 00 Knowledge-driven multimedia information extraction and
ontology evolution :|bbridging the semantic gap /
|cGeorgios Paliouras, Constantine D. Spyropoulos, George
264 1 Berlin ;|aNew York :|bSpringer,|c2011.
300 1 online resource (ix, 243 pages) :|bcolor illustrations,
338 online resource|bcr|2rdacarrier
347 text file|2rdaft|0http://rdaregistry.info/termList/
490 1 Lecture notes in computer science,|x0302-9743 ;|v6050.
|aLecture notes in artificial intelligence
490 1 State-of-the-art survey
490 1 LNCS sublibrary. SL 7, Artificial intelligence
504 Includes bibliographical references and indexes.
505 0 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.
520 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.
588 0 Print version record.
650 0 Multimedia systems.|0http://id.loc.gov/authorities/
650 0 Data mining.|0http://id.loc.gov/authorities/subjects/
650 0 Ontologies (Information retrieval)|0http://id.loc.gov/
655 4 Electronic books.
655 7 Electronic books.|2lcgft
700 1 Paliouras, Georgios,|d1970-|0http://id.loc.gov/authorities
700 1 Spyropoulos, Constantine D.,|d1951-|0http://id.loc.gov/
700 1 Tsatsaronis, G.|q(George)|0http://id.loc.gov/authorities/
776 08 |iPrint version:|tKnowledge-driven Multimedia Information
Extraction and Ontology Evolution.|dSpringer-Verlag New
York Inc 2011|z9783642207945|w(DLC) 2011926569
830 0 Lecture notes in computer science ;|0http://id.loc.gov/
830 0 Lecture notes in computer science.|pLecture notes in
830 0 Lecture notes in computer science.|pState-of-the-art
830 0 LNCS sublibrary.|nSL 7,|pArtificial intelligence.|0http://
990 SpringerLink|bSpringer English/International eBooks 2011 -
Full Set|c2018-10-31|yNew collection