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LEADER 00000cam  2200637Ii 4500 
001    733543214 
003    OCoLC 
005    20181101050737.4 
006    m     o  d         
007    cr cn||||||||| 
008    110629s2011    gw ab   ob    001 0 eng d 
019    738355233|a769768103|a964921332|a1005745706 
020    9783642207952|q(electronic bk.) 
020    3642207952|q(electronic bk.) 
024 7  10.1007/978-3-642-20795-2|2doi 
035    (OCoLC)733543214|z(OCoLC)738355233|z(OCoLC)769768103
040    GW5XE|beng|epn|erda|cGW5XE|dOCLCQ|dC$Q|dNUI|dOCLCQ|dMEAUC
049    MAIN 
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 
       Tsatsaronis (Eds.). 
264  1 Berlin ;|aNew York :|bSpringer,|c2011. 
300    1 online resource (ix, 243 pages) :|bcolor illustrations, 
       color maps. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc|0
347    text file|2rdaft|0
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.|0
650  0 Data mining.|0
650  0 Ontologies (Information retrieval)|0
655  4 Electronic books. 
655  7 Electronic books.|2lcgft 
700 1  Paliouras, Georgios,|d1970-|0
700 1  Spyropoulos, Constantine D.,|d1951-|0
700 1  Tsatsaronis, G.|q(George)|0
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 ;|0
830  0 Lecture notes in computer science.|pLecture notes in 
       artificial intelligence.|0
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 
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