A Case Study on Linked Data for University Courses

Óbuda 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 ontologi...

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Published inOn the Move to Meaningful Internet Systems: OTM 2016 Workshops Vol. 10034; pp. 265 - 276
Main Authors Szász, Barnabás, Fleiner, Rita, Micsik, András
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Linked Open Data
Linked Open University Data
Ontology
SPARQL
Online AccessGet full text
ISBN9783319559605
3319559605
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-55961-2_27

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Abstract Óbuda 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.
AbstractList Óbuda 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.
Author Micsik, András
Fleiner, Rita
Szász, Barnabás
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Snippet Óbuda University wanted to build a linked dataset describing their courses in the semester. The concepts to be covered included curricula, subjects, courses,...
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StartPage 265
SubjectTerms Linked Open Data
Linked Open University Data
Ontology
SPARQL
Title A Case Study on Linked Data for University Courses
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Volume 10034
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