Name: Description Logics in Multimedia Reasoning (en Inglés)
Price: 549.38 PEN
Availability: InStock
Author: Leslie F. Sikos
ISBN: 9783319540658

portada Description Logics in Multimedia Reasoning (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Leslie F. Sikos

Año

2017

Idioma

Inglés

N° páginas

205

Encuadernación

Tapa Dura

ISBN13

9783319540658

N° edición

Categorías

Inteligencia artificial

Description Logics in Multimedia Reasoning (en Inglés)

Leslie F. Sikos (Autor) · Springer · Tapa Dura

Libro Nuevo

S/ 549,38

S/ 1.098,75

Ahorras: S/ 549,38

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Description Logics in Multimedia Reasoning (en Inglés)"

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.