摘要翻译：
数据网由在网上发布的数据组成，这些数据可以被解释并连接在一起。因此，在这些数据之间建立链接是至关重要的，无论是对于数据web还是对于它贡献给feed的语义web都是如此。我们在这里考虑为此目的开发的各种技术，并分析它们的共性和差异。我们提出了一个通用的框架，并展示了不同的技术如何适合于该框架。在此框架中，我们考虑了数据互连和本体匹配之间的关系。尽管它们在某种程度上可以被认为是相似的（它们都涉及正式的实体），但它们服务于不同的目的，但在合作中会发现互利的。因此，我们提出了一种方案，在这种方案下，数据链接工具可以利用本体对齐。
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英文标题：
《MeLinDa: an interlinking framework for the web of data》
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作者：
Fran\c{c}ois Scharffe (LIRMM), J\'er\^ome Euzenat (INRIA Grenoble
  Rh\^one-Alpes / LIG Laboratoire d'Informatique de Grenoble)
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最新提交年份：
2011
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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 web of data consists of data published on the web in such a way that they can be interpreted and connected together. It is thus critical to establish links between these data, both for the web of data and for the semantic web that it contributes to feed. We consider here the various techniques developed for that purpose and analyze their commonalities and differences. We propose a general framework and show how the diverse techniques fit in the framework. From this framework we consider the relation between data interlinking and ontology matching. Although, they can be considered similar at a certain level (they both relate formal entities), they serve different purposes, but would find a mutual benefit at collaborating. We thus present a scheme under which it is possible for data linking tools to take advantage of ontology alignments.
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PDF链接：
https://arxiv.org/pdf/1107.4502