标题： 基于文档的知识发现与微服务架构 显示英文标题

标题： A Document-based Knowledge Discovery with Microservices Architecture

摘要： 组织内部数字化的第一步是数字化——将模拟数据转换为数字存储的数据。 这一步是后续活动如流程数字化或产品或服务的数字化的前提条件。 然而，数字化本身常常导致“数据丰富”但“知识贫乏”的材料。 知识发现和知识提取作为方法试图提高数字化数据的实用性。 在本文中，我们指出了知识发现中的关键挑战，并提出了一种使用微服务架构来解决这些问题的方法。 我们的解决方案导致了一个概念设计，重点在于关键词提取、文档相似性计算、自然语言数据库查询以及独立于编程语言的信息提供。 此外，概念设计为集成过程和应用程序以实现本体的半自动学习、编辑和可视化提供了参考设计指南。 该概念还使用微服务架构来解决非功能性需求，如可扩展性和弹性。 通过一个实现该概念的演示器对指定的需求进行评估。 此外，这种现代方法在德国专利局以扩展版本的形式使用。 显示英文摘要

摘要： The first step towards digitalization within organizations lies in digitization - the conversion of analog data into digitally stored data. This basic step is the prerequisite for all following activities like the digitalization of processes or the servitization of products or offerings. However, digitization itself often leads to 'data-rich' but 'knowledge-poor' material. Knowledge discovery and knowledge extraction as approaches try to increase the usefulness of digitized data. In this paper, we point out the key challenges in the context of knowledge discovery and present an approach to addressing these using a microservices architecture. Our solution led to a conceptual design focusing on keyword extraction, similarity calculation of documents, database queries in natural language, and programming language independent provision of the extracted information. In addition, the conceptual design provides referential design guidelines for integrating processes and applications for semi-automatic learning, editing, and visualization of ontologies. The concept also uses a microservices architecture to address non-functional requirements, such as scalability and resilience. The evaluation of the specified requirements is performed using a demonstrator that implements the concept. Furthermore, this modern approach is used in the German patent office in an extended version.