In this book, the spectacular development of a digital telecommunications infrastructure in one of the world’s most advanced industrial nations is being reviewed. Starting with the university network JUNET in 1984 the work covers the mobile Internet, wired access and backbone systems, all the way through broadband applications and today’s residential broadband traffic.
Japan has established one of the richest Internet environments and undertakes an aggressive R&D activity on both the New Generation Network “NGN” and the new Internet Protocol “IPv6”.In 2007, it was reported that in the cellular phone system in Japan, the total volume of data traffic became larger than that of voice traffic. The telecommunication infrastructure is converging with the broadcasting infrastructure: 2011 is designated as the first year of the full digital age.
Towards 2011, the following technical challenges are foreseen: the development and deployment of an end-to-end architecture on the existing complex IPv4 based Internet; development of a Japanese infrastructure, which is globally competitive and globally interoperable; development of new applications and new business models in the ubiquitous networking environment; development of Internet systems as a social infrastructure; integration with the real-space (i.e. integration of physical space and cyber space); NGN (Next Generation Network) and FMC (Fixed Mobile Convergence); and development and deployment of the unwired Internet environment.
This work looks into the challenges and opportunities now faced: it is a must reading for communications and media experts, policy makers and the general public interested in the digital infrastructure.
关联数据的发布，带来了一种新的“网络数据” ：丰富多样，相互联系的，结构化的发布在网络上的数据。这些链接的数据集所使用的语义Web标准的描述，并公开提供给所有的，由政府，企业，社区和学术界的一致好评产生。然而，这样的数据的异质性 - 在资源如何描述和识别方面 - 带来重大挑战的潜在消费者。
在此，用例务实，轻巧推理技术，充分利用网络词汇，以更好地整合规模大，多样化，关联数据语料库进行检查。从400万RDF的Web文档收集1.1十亿RDF语句的测试语料是采取和使用RDFS和OWL的分析。书中详细接下来的部分，并评估可扩展的分布式技术应用规则为基础的成事的翻译不同的词汇之间的数据，并解决谈论同样的事情coreferent资源。它示出了如何这样的技术能在嘈杂和经常无耻的网页数据中的脸部进行鲁棒性。还审查是一个使用案例结合了PagerRank式算法进行排名由推理产生事实的可信度，随后用这些队伍来解决在数据正式矛盾。所有的方法都验证对我们的现实世界，规模大，开放的领域，关联数据评价主体。
|
