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Topic Maps-Based Semblogging with semblog-tm

机译:基于主题图的semblog-tm集成

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摘要

Semantic blogging combines blogs with the Semantic Web for improved metadata. Our analysis of six semblogging approaches and systems reveals that all are RDF-based, suffer from not using Published Subjects as proxies for subjects, and do not employ semantic relations motivated by knowledge organization. In contrast, we introduce and discuss semblog-tm, a prototype of a Topic Maps- and PSI-based semblogging system with a well-motivated set of semantic relations. Its basic requirements have been derived from the three main use cases: managing lightweight ontologies, attaching semantics to blog entries, and providing aggregated semblogging data as semantic knowledge services to other semantically-enabled systems. The four main system components (blogging, topic map, PSI, semantic knowledge services), and its capabilities are sketched. The web application semblog-tm is implemented as a plugin for the blojsom blogging engine, using Java and Tomcat with Velocity templates. Topic map operations are realized via TMAPI with TM4J or OKS, and Axis is employed for web services.
机译:语义博客将博客与语义Web相结合,以改进元数据。我们对六种组装方法和系统的分析表明,所有方法和系统都是基于RDF的,没有使用已发布的主题作为主题的代理,并且没有采用知识组织所激发的语义关系。相比之下,我们介绍并讨论semblog-tm,这是基于主题图和PSI的组合系统的原型,该系统具有良好的语义关系集。它的基本要求来自以下三个主要用例:管理轻量级本体,将语义附加到博客条目以及将汇总的装配数据作为语义知识服务提供给其他启用语义的系统。概述了四个主要系统组件(博客,主题图,PSI,语义知识服务)及其功能。 Web应用程序semblog-tm使用Java和Tomcat以及Velocity模板作为blojsom博客引擎的插件实现。主题图操作通过带有TM4J或OKS的TMAPI实现,并且Axis用于Web服务。

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