Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications (Paperback)

After the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptual or domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications

在傳統以文件為中心的Web 1.0和以使用者生成內容為重點的Web 2.0之後，Web 3.0已成為各種不斷增長的Web資源的存儲庫，其中包括與企業、社交網絡、感測器、雲端以及構成物聯網的移動和其他設備相關的數據和服務。這些資源在異質性（多樣性）、規模（容量）和持續變化（速度）方面帶來了前所未有的挑戰，同時也提供了相應的機會，如果能夠加以利用的話。就像在過去處理數據異質性方面，語義學在提供互操作性和整合方面發揮了關鍵作用一樣，它在應對這些挑戰並幫助用戶和應用程序利用各種形式的Web 3.0數據方面發揮著更加關鍵的作用。本書提出了一種統一的方法，利用能夠通過概念或領域模型以及語義描述（包括註釋）將意義與數據關聯起來的核心原則，以及用於搜索、整合和分析的先進語義技術，來利用和開發各種形式的當代Web資源。它討論了在適當時使用語義Web標準和技術，但也主張在更適合的情況下使用更輕量、更易於使用和更可擴展的選項。作者們在研究和原型到開發運營應用和商業技術和產品的廣泛經驗指導了本書的內容。目錄：語義和元數據的角色/語義的類型和模型/註釋-為數據添加語義/企業數據的語義/服務的語義/感測器數據的語義/社交數據的語義/雲計算的語義/高級應用的語義