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摘要翻译：
在OWL成为W3C推荐标准的七年之后，在最近的OWL2 W3C推荐标准的两年之后，OWL在Web上的应用仍然很少。尽管OWL的某些特性（如OWL：Sameas）非常流行，但OWL的其他特性在链接数据领域中却被出版商所忽视。这可能表明，尽管OWL的第二个版本提供了易于实现的承诺和可处理的概要文件的建议，但是对于链接的数据社区仍然没有“正确”的标准片段。在本文中，我们（1）分析了OWL在Web上对数据的吸收；（2）深入了解了在Web上实际使用/可用的OWL片段，并得出结论，该片段可能是基于OWL RL的简化配置文件；（3）提出并讨论了这样一个新的片段，我们称之为OWL LD（用于链接数据）。
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英文标题：
《OWL: Yet to arrive on the Web of Data?》
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作者：
Birte Glimm and Aidan Hogan and Markus Kr\"otzsch and Axel Polleres
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最新提交年份：
2012
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Digital Libraries 数字图书馆
分类描述：Covers all aspects of the digital library design and document and text creation. Note that there will be some overlap with Information Retrieval (which is a separate subject area). Roughly includes material in ACM Subject Classes H.3.5, H.3.6, H.3.7, I.7.
涵盖了数字图书馆设计和文献及文本创作的各个方面。注意，与信息检索（这是一个单独的主题领域）会有一些重叠。大致包括ACM课程H.3.5、H.3.6、H.3.7、I.7中的材料。
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一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
Seven years on from OWL becoming a W3C recommendation, and two years on from the more recent OWL 2 W3C recommendation, OWL has still experienced only patchy uptake on the Web. Although certain OWL features (like owl:sameAs) are very popular, other features of OWL are largely neglected by publishers in the Linked Data world. This may suggest that despite the promise of easy implementations and the proposal of tractable profiles suggested in OWL's second version, there is still no "right" standard fragment for the Linked Data community. In this paper, we (1) analyse uptake of OWL on the Web of Data, (2) gain insights into the OWL fragment that is actually used/usable on the Web, where we arrive at the conclusion that this fragment is likely to be a simplified profile based on OWL RL, (3) propose and discuss such a new fragment, which we call OWL LD (for Linked Data).
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PDF链接：
https://arxiv.org/pdf/1202.0984
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