Semantic Web and Peer-to-Peer : Decentralized Management and Exchange of Knowledge and Information

本文探讨了语义网技术与点对点技术如何共同解决信息复杂性和系统复杂性的问题,通过灵活且分散化的信息存储及处理方式,避免信息瓶颈限制知识交流。

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Just like the industrial society of the last century depended on natural resources, todays society depends on information and its exchange. Semantic Web technologies address the problem of information complexity by providing advanced support for representing and processing distributed information, while peer-to-peer technologies address issues of system complexity by allowing flexible and decentralized information storage and processing. Systems that are based on Semantic Web and peer-to-peer technologies promise to combine the advantages of the two mechanisms. A peer-to-peer style architecture for the Semantic Web will avoid both physical and semantic bottlenecks that limit information and knowledge exchange. Staab and Stuckenschmidt structured the selected contributions into four parts: Part I, "Data Storage and Access", prepares the semantic foundation, i.e. data modelling and querying in a flexible and yet scalable manner. These foundations allow for dealing with the organization of information at the individual peers. Part II, "Querying the Network", considers the routing of queries, as well as continuous queries and personalized queries under the conditions of the permanently changing topological structure of a peer-to-peer network. Part III, "Semantic Integration", deals with the mapping of heterogeneous data representations. Finally Part IV, "Methodology and Systems", reports experiences from case studies and sample applications. The overall result is a state-of-the-art description of the potential of Semantic Web and peer-to-peer technologies for information sharing and knowledge management when applied jointly. It serves researchers in academia and industry as an excellent and lasting reference and source of inspiration.
http://rapidshare.com/files/53090232/3540283463.zip
资源下载链接为: https://pan.quark.cn/s/22ca96b7bd39 在当今的软件开发领域,自动化构建与发布是提升开发效率和项目质量的关键环节。Jenkins Pipeline作为一种强大的自动化工具,能够有效助力Java项目的快速构建、测试及部署。本文将详细介绍如何利用Jenkins Pipeline实现Java项目的自动化构建与发布。 Jenkins Pipeline简介 Jenkins Pipeline是运行在Jenkins上的一套工作流框架,它将原本分散在单个或多个节点上独立运行的任务串联起来,实现复杂流程的编排与可视化。它是Jenkins 2.X的核心特性之一,推动了Jenkins从持续集成(CI)向持续交付(CD)及DevOps的转变。 创建Pipeline项目 要使用Jenkins Pipeline自动化构建发布Java项目,首先需要创建Pipeline项目。具体步骤如下: 登录Jenkins,点击“新建项”,选择“Pipeline”。 输入项目名称和描述,点击“确定”。 在Pipeline脚本中定义项目字典、发版脚本和预发布脚本。 编写Pipeline脚本 Pipeline脚本是Jenkins Pipeline的核心,用于定义自动化构建和发布的流程。以下是一个简单的Pipeline脚本示例: 在上述脚本中,定义了四个阶段:Checkout、Build、Push package和Deploy/Rollback。每个阶段都可以根据实际需求进行配置和调整。 通过Jenkins Pipeline自动化构建发布Java项目,可以显著提升开发效率和项目质量。借助Pipeline,我们能够轻松实现自动化构建、测试和部署,从而提高项目的整体质量和可靠性。
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