Description Logics in Multimedia Reasoning
暫譯: 多媒體推理中的描述邏輯

Sikos, Leslie F.

  • 出版商: Springer
  • 出版日期: 2018-08-02
  • 售價: $4,950
  • 貴賓價: 9.5$4,703
  • 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.

商品描述(中文翻譯)

本書說明如何充分利用基於描述邏輯的形式主義來創建、索引和重用多媒體語義。為此,它通過提供對最先進標準、技術、本體和軟體工具的深入回顧,向研究人員介紹多媒體語義。它強調了在多媒體物件的知識表示中,形式基礎的重要性,以及在智能多媒體應用中多媒體推理的潛力,並呈現了多媒體本體工程中的理論討論和最佳實踐。

對於已經熟悉數學邏輯、互聯網和多媒體基礎的讀者,將學會開發形式基礎的多媒體本體,並將概念定義映射到高層次描述符。書中介紹了核心推理任務、推理算法和行業領先的推理器,同時也展示了通過推理進行場景解釋的過程。

總體而言,本書為讀者提供了對網路本體形式基礎的基本介紹,以及從表達能力和推理複雜性角度對描述邏輯(DLs)的全面收集和回顧。它涵蓋了開發具有形式基礎的多媒體本體的最佳實踐,以保證可判定性並獲得所需的表達能力,同時最大化推理潛力。這些多媒體本體的能力通過強調多媒體推理應用的DL實現來展示。

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.

作者簡介(中文翻譯)

Leslie F. Sikos, Ph.D. 是澳洲弗林德斯大學的研究員,專注於多媒體資源的知識表示、多媒體本體工程,以及透過時空推理和資訊融合進行自動化視頻場景解釋。他在學術界和產業界都有工作經驗,因此獲得了語義網技術、攝影、視頻創作、計算機生成影像(CGI)和3D建模的實務技能,並開發了兩個至今最具表達力的多媒體本體,這些本體在描述邏輯上有正式的基礎,並輔以規則集。Sikos博士目前正在研究下一代視頻索引技術的標準化,這些技術利用不同粒度層級的語義註釋,包括整個視頻、視頻鏡頭、視頻片段、視頻幀以及視頻幀的感興趣區域,並將所描繪的概念映射到連結資料(Linked Data)。受到創建和利用豐富的連結開放資料集(LOD)啟發,Sikos博士積極參與開放標準和開放資料庫的發展。