Source Code Plagiarism Detection Method Using ProtÃ©gÃ© Built Ontologies
Software plagiarism is a growing and serious problem that affects computer science universities in particular and the quality of education in general. More and more students tend to copy their thesisâ€™s software from older theses or internet databases. Checking source codes manually, to detect if they are similar or the same, is a laborious and time consuming job, maybe even impossible due to existence of large digital repositories. Ontology is a way of describing a documentâ€™s semantic, so it can be easily used for source code files too. OWL Web Ontology Language could find its applicability in describing both vocabulary and taxonomy of a programming language source code. SPARQL is a query language based on SQL that extracts saved or deducted information from ontologies. Our paper proposes a source code plagiarism detection method, based on ontologies created using ProtÃ©gÃ© editor, which can be applied in scanning students' theses' software source code.
Volume (Year): 17 (2013)
Issue (Month): 3 ()
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