Where SOA Meets the Semantic Reasoning

A. Cheptsov, S. Wesner
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引用次数: 1

Abstract

Reasoning is one of the essential application areas of the modern Semantic Web. Nowadays, the semantic reasoning algorithms are facing significant challenges when dealing with the emergence of the Internet-scale knowledge bases, comprising extremely large amounts of data. The traditional reasoning approaches have only been approved for small, closed, trustworthy, consistent, coherent and static data domains. As such, they are not well-suited to be applied in data-intensive applications aiming on the Internet scale. We introduce the Large Knowledge Collider as a platform solution that leverages the service-oriented approach to implement a new reasoning technique, capable of dealing with exploding volumes of the rapidly growing data universe, in order to be able to take advantages of the large-scale and on-demand elastic infrastructures such as high performance computing or cloud technology.
SOA在哪里满足语义推理
推理是现代语义网的重要应用领域之一。目前,语义推理算法在处理互联网规模知识库的出现时面临着巨大的挑战,这些知识库包含了大量的数据。传统的推理方法只适用于小的、封闭的、可信的、一致的、连贯的和静态的数据域。因此,它们不太适合用于针对Internet规模的数据密集型应用程序。我们引入了大型知识碰撞器作为一个平台解决方案,它利用面向服务的方法来实现一种新的推理技术,能够处理快速增长的数据宇宙的爆炸式增长,以便能够利用大规模和按需弹性基础设施,如高性能计算或云技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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