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03634nam a22005295i 4500 |
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978-3-319-54066-5 |
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DE-He213 |
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20170628144211.0 |
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170628s2017 gw | s |||| 0|eng d |
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|a 9783319540665
|9 978-3-319-54066-5
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|a 10.1007/978-3-319-54066-5
|2 doi
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|a Q334-342
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|a TJ210.2-211.495
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|a COM004000
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|a 006.3
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|a Sikos, Leslie F.
|e author.
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|a Description Logics in Multimedia Reasoning
|h [electronic resource] /
|c by Leslie F. Sikos.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XIII, 205 p. 25 illus., 20 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Multimedia Semantics -- Knowledge Representation with Semantic Web Standards -- The Semantic Gap -- Description Logics: Formal Foundation for Web Ontology -- Multimedia Ontology Engineering -- Ontology-Based Multimedia Reasoning -- References -- Index.
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|a This book illustrates how to use description logic-based formalisms to their full potential in the creation, indexing, and reuse of multimedia semantics. To do so, it introduces researchers to multimedia semantics by providing an in-depth review of state-of-the-art standards, technologies, ontologies, and software tools. It draws attention to the importance of formal grounding in the knowledge representation of multimedia objects, the potential of multimedia reasoning in intelligent multimedia applications, and presents both theoretical discussions and best practices in multimedia ontology engineering. Readers already familiar with mathematical logic, Internet, and multimedia fundamentals will learn to develop formally grounded multimedia ontologies, and map concept definitions to high-level descriptors. The core reasoning tasks, reasoning algorithms, and industry-leading reasoners are presented, while scene interpretation via reasoning is also demonstrated. Overall, this book offers readers an essential introduction to the formal grounding of web ontologies, as well as a comprehensive collection and review of description logics (DLs) from the perspectives of expressivity and reasoning complexity. It covers best practices for developing multimedia ontologies with formal grounding to guarantee decidability and obtain the desired level of expressivity while maximizing the reasoning potential. The capabilities of such multimedia ontologies are demonstrated by DL implementations with an emphasis on multimedia reasoning applications.
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|a Computer science.
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|a Mathematical logic.
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|a Computer science
|x Mathematics.
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|a Artificial intelligence.
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|a Image processing.
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|a Computer mathematics.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Mathematical Logic and Formal Languages.
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|a Image Processing and Computer Vision.
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|a Discrete Mathematics in Computer Science.
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|a Mathematical Applications in Computer Science.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319540658
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| 856 |
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|u http://dx.doi.org/10.1007/978-3-319-54066-5
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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