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Title:      A SEMANTIC WEB APPROACH FOR AUTOMATED TEST GENERATION
Author(s):      Bogdan Dr?gulescu, Marian Bucos, Radu Vasiu
ISBN:      978-989-8533-09-8
Editors:      Bebo White and Pedro IsaĆ­as
Year:      2012
Edition:      Single
Keywords:      Test generation, semantic web, test ontology.
Type:      Full Paper
First Page:      235
Last Page:      241
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In this paper we describe our approach on automatic test generation. In order to validate the test generation process, we organized the questions related to a specific topic to be available for the applications. To do this, we used semantic web technologies to build a small vocabulary, which defines all the information related to the questions in RDF format (question label, question type, correct answer, destructor, relations among questions etc.). The resulted data should be stored in a RDF store. To generate a test from the question bank (in our case a RDF store), patterns for extraction of random unrelated questions are defined. Evaluation of vocabulary and query patterns are done by running the test generation algorithm several times in different scenarios, thus, ensuring that the questions have a normal distribution of usage in tests. This test generation method could be used by tutors, to cut their workload, and by students for self-evaluation.
   

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