A Case Study on Linked Data for University Courses

被引：0
|
作者：
Szasz, Barnabas [1 ]
Fleiner, Rita [2 ]
Micsik, Andras [3 ]
机构：
[1] Univ Debrecen, Debrecen, Hungary
[2] Obuda Univ, Budapest, Hungary
[3] MTA SZTAKI, Dept Distributed Syst, Budapest, Hungary
来源：
ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS | 2017年 / 10034卷
关键词：
Ontology; Linked Open Data; Linked Open University Data; SPARQL;
D O I：
10.1007/978-3-319-55961-2_27
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Obuda University wanted to build a linked dataset describing their courses in the semester. The concepts to be covered included curricula, subjects, courses, semesters and educators. A particular use case needed the description of lecture rooms and events as well. Although there are several ontologies for the mentioned domains, selecting a set of ontologies fitting our use case was not an easy task. After realizing the problems, we created the Ontology for Linked Open University Data (OLOUD) to fill in the gaps between re-used ontologies. OLOUD acts as a glue for a selection of existing ontologies, and thus enables us to integrate data from several sources and to provide practical information services for students and lecturers.
引用
收藏
页码：265 / 276
页数：12
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