Leveraging Semantic Markups for Incorporating External Resources Data to the Content of a Web Page

E. L. Kitaev, R. Skornyakova
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Abstract

The semantic markups of the World Wide Web have accumulated a large amount of data and their number continues to grow. However, the potential of these data is, in our opinion, not fully utilized. The semantic markups contents are widely used by search systems, partly by social networks, but the usual approach to using that data by application developers is based on converting data to RDF standard and executing SPARQL queries, which requires good knowledge of this language and programming skills. In this paper, we propose to leverage the semantic markups available on the Web to automatically incorporate their contents to the content of other web pages. We also present a software tool for implementing such incorporation that does not require a web page developer to have knowledge of any programming languages ​​other than HTML and CSS. The developed tool does not require installation, the work is performed by JavaScript plugins. Currently, the tool supports semantic data contained in the popular types of semantic markups “microdata” and JSON-LD, in the tags of HTML documents and the properties of Word and PDF documents.
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利用语义标记将外部资源数据合并到Web页面的内容
万维网的语义标记已经积累了大量的数据,其数量还在不断增长。然而,在我们看来,这些数据的潜力没有得到充分利用。语义标记内容广泛用于搜索系统,部分用于社交网络,但是应用程序开发人员使用该数据的通常方法是基于将数据转换为RDF标准并执行SPARQL查询,这需要良好的语言知识和编程技能。在本文中,我们建议利用Web上可用的语义标记来自动将其内容合并到其他Web页面的内容中。我们还提供了一种软件工具来实现这种整合,它不需要网页开发人员具备除HTML和CSS以外的任何编程语言知识。开发的工具不需要安装,工作是由JavaScript插件执行的。目前,该工具支持流行的语义标记类型“微数据”和JSON-LD、HTML文档的标记以及Word和PDF文档的属性中包含的语义数据。
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