2016
DOI: 10.1080/03043797.2016.1235139
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Towards a controlled vocabulary on software engineering education

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Cited by 7 publications
(7 citation statements)
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“…Examples of the most frequent CVs are ontologies, taxonomies, thesauri, and folksonomies. Natural language processing and knowledge management techniques [31,32] often use CV support tools. To allow for a more precise fine-tuning of our research, we also considered the work by Ahmad et al [27].…”
Section: The Research Methodologymentioning
confidence: 99%
“…Examples of the most frequent CVs are ontologies, taxonomies, thesauri, and folksonomies. Natural language processing and knowledge management techniques [31,32] often use CV support tools. To allow for a more precise fine-tuning of our research, we also considered the work by Ahmad et al [27].…”
Section: The Research Methodologymentioning
confidence: 99%
“…Relevant articles may be identified to evaluate the factors of DT use even if they are not SLRs (see column "non-SLR"). Finally, it was able to choose 29 articles, ("Selected Papers" column, including papers), to view abstracts from the papers [36,37]. is is hardly unexpected since the technology and problems examined are relatively recent as shown in Figure 2.…”
Section: Phase Of Executionmentioning
confidence: 99%
“…A controlled vocabulary is an organized collection of units of significance, i.e., terms that have a determined and well-known meaning, without duplicates (synonyms) that can cause ambiguities or misunderstandings. Their purpose is to organize information (data pieces) in a structured manner, provide consistency, indicate semantic relations, making it easy to classify, query, and retrieve data [2][3][4]. The most frequent examples of CVs can be categorized as ontologies, taxonomies, thesauri and, lately, folksonomies.…”
Section: Controlled Vocabularymentioning
confidence: 99%