Open Cultural Heritage Data in University Programming Courses

被引：0

作者：

Tietz, Tabea ^{[1
,2
]}

Sack, Harald ^{[1
,2
]}

机构：

[1] Karlsruhe Inst Technol, Inst AIFB, Karlsruhe, Germany

[2] FIZ Karlsruhe, Leibniz Inst Informat Infrastruct, Eggenstein Leopoldshafen, Germany

来源：

SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS | 2019年 / 11762卷

关键词：

Education; Cultural heritage; Semantic web; Linked data; Data exploration; Machine learning; Natural language processing;

D O I：

10.1007/978-3-030-32327-1_34

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cultural heritage data are not only an important research subject for the semantic web community, but also provide interesting material for practical programming courses in universities. In this paper, four projects created by master students at Karlsruhe Institute of Technology (KIT) show how open cultural heritage data can be used to develop creative and ambitious applications which improve the students' knowledge and experience working with semantic web technologies, linked data, natural language processing techniques and machine learning. Furthermore, challenges and lessons learned are discussed.

引用

页码：172 / 175

页数：4