解决语义网问题的逻辑编程

Isambo Karali
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引用次数: 11

摘要

Web的大小及其增长速度使得为所请求的信息找到高精度结果变得非常困难。语义网提供了一个框架和一套技术,使机器能够有效地处理信息,旨在实现更好的计算机-计算机和人机通信。但是,如果我们同时使用一种机器可处理和人类可理解的方法,这种方法也可以应用于现有的HTML Web源,会怎么样呢?在这项工作中,我们研究了语义Web技术正在解决的问题,以及如何用逻辑编程技术,特别是模块化逻辑编程来解决这些问题。我们从数据层面、元数据和推理来讨论问题。最后但并非最不重要的是,我们讨论代理商。更重要的是,我们声称这些技术可以应用于当前的Web信息源,为传统Web的某些方面提供形式化语义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logic Programming to Address Issues of the Semantic Web
The size of the Web and its increase rate made it cumber-some to locate high precision results to a requested piece of information. The Semantic Web provides a framework and a set of technologies enabling an effective machine processable information, aiming at a better computer-computer and human-computer communication. What if, though, we use a both machine processable and human understandable approach which can also apply in existent HTML Web sources? In this work, we investigate the problems being solved with the Semantic Web technologies and how this can be coped with Logic Programming techniques, especially Modular Logic Programming. We discuss issues from the data level, metadata and reasoning. Last but not least, we discuss agents. What is more is that, we claim that these techniques can be applied in the current Web information sources providing formal semantics for some aspects of the traditional Web.
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