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A Way How to Impart Data Science Skills to Computer Science Students Exemplified by OBDA-Systems Development

机译:以OBDA-Systems开发为例,如何将数据科学技能传授给计算机科学专业的学生

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Nowadays to explore and examine data from a variety of angles to tackle Big Data problems, to devise data-driven solutions to the most pressing challenges, it is necessary to build multidisciplinary students’ skills set for innovative methods not only for master’s in Data Science programs but in traditional Computer Science programs also. In the paper, we describe how teaching methods and tools, which are used to train students to develop Ontology-Based Data Access systems with natural language interface to relational databases helps Master’s Degree students in Computer Science to collaborate with Data Scientists in real-world interdisciplinary projects and to prepare them for a data science career. We use ontology engineering in a combination with Natural Language Processing methods based on lexico-syntactic patterns, in particular, to extract needful data from structured, semi-structured and unstructured datasets in a uniform way to analyze real-world Russian social networks related to new building area.
机译:如今,要从各种角度探索和检查数据以解决大数据问题,设计以数据为驱动力的解决方案以应对最紧迫的挑战,有必要建立多学科的学生技能体系,以创新的方法,而不仅仅是数据科学课程的硕士但在传统的计算机科学程序中也是如此。在本文中,我们描述了教学方法和工具,这些方法和工具如何用于训练学生开发与关系数据库具有自然语言接口的基于本体的数据访问系统,从而帮助计算机科学硕士学位的学生与现实世界中跨学科的数据科学家合作项目并为数据科学职业做准备。我们将本体工程与基于词汇句法模式的自然语言处理方法结合使用,特别是从结构化,半结构化和非结构化数据集中以统一的方式提取需要的数据,以分析与新建筑面积。

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