ASSESS — automatic self-assessment using linked data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

The Linked Open Data Cloud is a goldmine for creating open and low-cost educational applications: First, it contains open knowledge of encyclopedic nature on a large number of real-world entities. Moreover, the data being structured ensures that the data is both human and machine-readable. Finally, the openness of the data and the use of RDF as standard format facilitate the development of applications that can be ported across different domains with ease. However, RDF is still unknown to most members of the target audience of educational applications. Thus, Linked Data has commonly been used for the description or annotation of educational data. Yet, Linked Data has (to the best of our knowledge) never been used as direct source of educational material. With ASSESS, we demonstrate that Linked Data can be used as a source for the automatic generation of educational material. By using innovative RDF verbalization and entity summarization technology, we bridge between natural language and RDF. We then use RDF data directly to generate quizzes which encompass questions of different types on user defined domains of interest. By these means, we enable learners to generate self-assessment tests on domains of interest. Our evaluation shows that ASSESS generates high-quality English questions. Moreover, our usability evaluation suggests that our interface can be used intuitively. Finally, our test on DBpedia shows that our approach can be deployed on very large knowledge bases.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2015 - 14th International Semantic Web Conference, Proceedings
EditorsMarcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d’Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Steffen Staab
Number of pages14
PublisherSpringer-Verlag Wien
Publication date2015
Pages76-89
ISBN (print)978-3-319-25009-0
ISBN (electronic)978-3-319-25010-6
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event14th International Semantic Web Conference, ISWC 2015 - Bethlehem, Bethlehem, United States
Duration: 11.10.201515.10.2015
http://iswc2015.semanticweb.org/

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.