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Cloud-Based RDF Data Management

the deployment of massively parallel data management tasks in a cloud environment. In this book, we study the state-of-the-art RDF data;

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Cloud-Based RDF Data Management

the deployment of massively parallel data management tasks in a cloud environment. In this book, we study the state-of-the-art RDF data;

Vergelijkbare producten zoals Cloud-Based RDF Data Management

Cloud-Based RDF Data Management

the deployment of massively parallel data management tasks in a cloud environment. In this book, we study the state-of-the-art RDF data;

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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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Web Age Information Management

management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and;

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Data Integration on the (Semantic) Web with Rules and Rich Unification

agents to carry out complex reasoning tasks for humans. An indispensable ingredient for this transformation is rule based data integration;

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Linked Data

. Subsequently, Chapter 5 explores how streaming requirements are addressed in current, state-of-the-art RDF stream data processing. Chapter 6 covers;

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RDF Database Systems

applications, data models, indexing and query processing solutions.Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context;

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Software-Defined Cloud Centers

software-defined data center technologies, hybrid clouds, cloud service management, cloud-based analytics, and cloud-based software engineering.;

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Linked Open Data Creating Knowledge Out of Interlinked Data

in four key areas relevant for Linked Data, namely 1. RDF data management; 2. the extraction, creation, and enrichment of structured RDF data; 3;

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Cloud Network Management

Data storage, processing, and management at remote location over dynamic networks is the most challenging task in cloud networks. Users;

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Practical RDF

. RDF provides a consistent framework and syntax for describing and querying data, making it possible to share website descriptions more easily;

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Cloud Computing

established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems;

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Data Management and Query Processing in Semantic Web Databases

RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence;

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Recent Progress in Data Engineering and Internet Technology

, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more;

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Cloud Computing in Remote Sensing

a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers;

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Continued Rise of the Cloud

data science, and proposes an approach for cloud interoperability; reviews existing elasticity management solutions, discusses the;

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Cloud Data Centers and Cost Modeling

Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data;

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Impacts and Challenges of Cloud Business Intelligence

extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM;

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Data Engineeringon Azure

. Data Engineering on Azure reveals the architectural, operational, and data management techniques that power cloud-based data infrastructure;

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Cloud Services, Networking, and Management

underlying management mechanisms, including data center virtualization and networking, cloud security and reliability, big data analytics, scientific;

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Adaptive Resource Management and Scheduling for Cloud Computing

techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing;

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Azure Arc-enabled Data Services Revealed

data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage;

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Complete Guide to Open Source Big Data Stack

data stack is created. The book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management;

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Learning SPARQL

add to, update, and delete data in RDF datasets, and give web applications access to this data. Updated to reflect SPARQL 1.1. Recommendation;

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Validating RDF Data

RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad;

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Visualizing RDF Data on a Handheld

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