In order to present large amount of information on the Web to both users and machines, it is urgently needed to structure Web data. E-commerce is one of the areas where increasing data bottlenecks on the Web inhibit data access. Ontological display of the product information enables better product comparison and search applications using the semantics of the product specifications and their corresponding values. In this article, we present a framework called OPPCAT, which is used for semi-automatic ontology population from tabular data in e-commerce stores and product catalogues. As a result, OPPCAT allows tabular data to be used for mass production of ontology content. First, we present the common patterns in tabular data which obstruct semi-automatic production of ontologies. Then, we suggest solutions which automatically fix these errors. Finally, we define an algorithm to build ontology content semi-automatically.

中文翻译：

---

OPPCAT：来自表格数据的本体群体

为了将大量的网络信息呈现给用户和机器，迫切需要构建网络数据。电子商务是 Web 上日益增加的数据瓶颈阻碍数据访问的领域之一。产品信息的本体显示可以使用产品规格及其相应值的语义进行更好的产品比较和搜索应用。在本文中，我们提出了一个名为 OPPCAT 的框架，该框架用于从电子商务商店和产品目录中的表格数据中进行半自动本体填充。因此，OPPCAT 允许将表格数据用于本体内容的批量生产。首先，我们展示了阻碍本体半自动生产的表格数据中的常见模式。然后，我们建议自动修复这些错误的解决方案。