MeLinDa：数据网络的互连框架
MeLinDa: an interlinking framework for the web of data
摘要：
数据网络由在网络上发布的数据组成，这些数据可以被解释和连接在一起。因此，在这些数据之间建立联系是至关重要的，无论是对于数据网络还是对于它所提供的语义网络。我们在这里考虑为这一目的开发的各种技术，并分析它们的共性和差异。我们提出了一个总体框架，并展示了不同的技术如何适应框架。从这个框架中，我们考虑数据互连和本体匹配之间的关系。虽然它们在某种程度上可以被认为是相似的（它们都涉及正式实体），但它们服务于不同的目的，但在合作中会发现互利。因此，我们提出了一个方案，根据该方案，数据链接工具可以利用本体对齐。
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
