一种用于RESTful数据服务的语义描述语言,用于对抗信号恐惧症

Markus Lanthaler, C. Gutl
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引用次数: 45

摘要

RESTful Web服务是公司在Web上公开数据的一种日益流行的方式。另一方面,关联开放数据倡议最近正在获得牵引力。由于REST的原则与关联数据的原则很好地结合在一起,因此人们对两者之间的关系越来越感兴趣。然而,在实践中,它们在很大程度上仍然是分离的,创建了数据孤岛,而不是形成预期的语义网的全局数据图。这有不同的原因。一个是大多数Web开发人员不愿意使用语义Web技术,我们将这种现象称为信号恐惧症。另一个原因是语义网被认为是一种不考虑现有基础设施的颠覆性技术。这使得企业很难更新其遗留系统。为了解决这些问题和其他问题,我们提出了一种新的方法来语义描述RESTful数据服务,从而产生一种将此类服务提供的数据转换为语义资源的机制。这样做的目的是促进更多语义数据集的可用性。通过让Web开发人员尽可能熟悉和简单地使用该方法,我们希望降低入门门槛并促进采用我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A semantic description language for RESTful Data Services to combat Semaphobia
RESTful Web services are an increasingly popular way for companies to expose their data on the Web. On the other hand, the Linked Open Data initiative is gaining traction recently. Since REST's principles align well with those of Linked Data, there is an increasing interest in the relationship of the two. Nevertheless, in practice they still largely remain separated, creating islands of data instead of a global graph of data forming the envisioned Semantic Web. There are different reasons for this. One is the reluctance of most Web developers to use Semantic Web technologies, a phenomenon we denote as Semaphobia. Another reason is that the Semantic Web is considered to be a disruptive technology which does not consider existing infrastructure. This makes it difficult for enterprises to update their legacy systems. To solve these and other issues, we propose a novel approach to semantically describe RESTful Data Services which in consequence leads to a mechanism to transform the data provided by such services to semantic resources. This aims to contribute to the availability of more semantic datasets. By keeping the approach as familiar and simple as possible for Web developers, we hope to lower the entry barrier and to foster the adoption of our approach.
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