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摘要翻译：
语义Web上的基本意义单位是RDF语句，或称三元组，它结合了一个不同的主语、谓语和宾语来对世界做出明确的断言。三元组的集合构成了一个图，它们赋予了图的集体意义。正是在这个简单的基础上，构建了语义网丰富而复杂的知识结构。然而，通过与现实世界知识的比较，RDF的表达性突出了一个根本缺陷，即RDF仅限于绝对事实的陈述，独立于陈述的上下文。这与人类思想的完全语境敏感性形成了鲜明的对比。这里给出的模型提供了一种特别简单的方法，通过将RDF三元组与同一图中的相关语句相关联来上下文化RDF三元组。这种方法结合了图相似度的概念，足以从RDF图中只选择那些主观上与请求过程上下文最相关的语句。
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英文标题：
《The Dilated Triple》
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作者：
Marko A. Rodriguez, Alberto Pepe, Joshua Shinavier
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最新提交年份：
2010
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分类信息：
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：
The basic unit of meaning on the Semantic Web is the RDF statement, or triple, which combines a distinct subject, predicate and object to make a definite assertion about the world. A set of triples constitutes a graph, to which they give a collective meaning. It is upon this simple foundation that the rich, complex knowledge structures of the Semantic Web are built. Yet the very expressiveness of RDF, by inviting comparison with real-world knowledge, highlights a fundamental shortcoming, in that RDF is limited to statements of absolute fact, independent of the context in which a statement is asserted. This is in stark contrast with the thoroughly context-sensitive nature of human thought. The model presented here provides a particularly simple means of contextualizing an RDF triple by associating it with related statements in the same graph. This approach, in combination with a notion of graph similarity, is sufficient to select only those statements from an RDF graph which are subjectively most relevant to the context of the requesting process.
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PDF链接：
https://arxiv.org/pdf/1006.1080
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