Description Logics in Multimedia Reasoning

Sikos, Leslie F.

Description Logics in Multimedia Reasoning
  • 出版商: Springer
  • 出版日期: 2018-08-02
  • 售價: $4,900
  • 貴賓價: 9.5 折 $4,655
  • 語言: 英文
  • 頁數: 205
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3319853082
  • ISBN-13: 9783319853086

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

作者簡介

Leslie F. Sikos, Ph.D., is a researcher at Flinders University, Australia, specializing in knowledge representation of multimedia resources, multimedia ontology engineering, and automated video scene interpretation via spatiotemporal reasoning and information fusion. He has worked in both academia and the industry, thereby acquiring hands-on skills in Semantic Web technologies, photography, video authoring, CGI, and 3D modeling, and has developed two of the most expressive multimedia ontologies to date, which are formally grounded in description logics and complemented by rulesets. Dr. Sikos is currently working on the standardization of next-generation video indexing techniques that leverage semantic annotation at different levels of granularity, including entire videos, video shots, video segments, video frames, and regions of interest of video frames, and map depicted concepts to Linked Data. Inspired by the creation and exploitation of rich LOD datasets, Dr. Sikos actively contributes to the development of open standards and open data repositories.

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