使用schema.org将动态内容发布为结构化数据的启发式方法
Heuristics for publishing dynamic content as structured data with schema.org
摘要：
以可伸缩的方式将快速变化的动态数据作为开放数据发布在Web上并不是一件小事。到目前为止，唯一的方法描述了发布尽可能多的数据，然后导致问题，如服务器容量过载，网络延迟或不必要的知识泄露。在本文中，我们展示了如何发布动态数据在一个可扩展的，有意义的方式，通过应用上下文相关的发布策略。研究结果表明，在正确的领域中运用正确的出版策略可以显著提高出版绩效。关于领域的良好知识有助于选择正确的出版启发式，从而导致非常好的出版结果。
英文摘要：
Publishing fast changing dynamic data as open data on the web in a scalable manner is not trivial. So far the only approaches describe publishing as much data as possible, which then leads to problems, like server capacity overload, network latency or unwanted knowledge disclosure. With this paper we show ways how to publish dynamic data in a scalable, meaningful manner by applying context-dependent publication heuristics. The outcome shows that the application of the right publication heuristics in the right domain can improve the publication performance significantly. Good knowledge about the domain help choosing the right publication heuristic and hence lead to very good publication results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
