myCBR is a freely available tool for rapid prototyping of similarity-based retrieval applications such as case-based product recommender systems. It provides easy-to-use model generation, data import, similarity modelling, explanation, and testing functionality together with comfortable graphical user interfaces. SCOOBIE is an ontology-based information extraction system, which uses symbolic background knowledge for extracting information from text. Extraction results depend on existing knowledge fragments. In this paper we show how to use SCOOBIE for generating cases from texts. More concrete we use ontologies of the Web of Data, published as so called Linked Data interlinked with myCBR’s case model. We present a way of formalising a case model as Linked Data ready ontology and connect it with other ontologies of the Web of Data in order to get richer cases.
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机译：myCBR是免费的工具，用于基于相似度的检索应用程序（例如基于案例的产品推荐系统）的快速原型制作。它提供了易于使用的模型生成，数据导入，相似性建模，解释和测试功能，以及舒适的图形用户界面。 SCOOBIE是基于本体的信息提取系统，它使用符号背景知识从文本中提取信息。提取结果取决于现有的知识片段。在本文中，我们展示了如何使用SCOOBIE从文本生成案例。更具体地讲，我们使用数据网络的本体，该本体以与MyCBR的案例模型相互关联的链接数据的形式发布。我们提出了一种将案例模型形式化为Linked Data ready本体的形式，并将其与Web of Data的其他本体连接，以获取更丰富的案例。
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