hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002645

Social Network Analysis on Educational Data Set in RDF Format

Bogdan Dragulescu ; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania
Marian Bucos   ORCID icon orcid.org/0000-0001-8205-6697 ; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania
Radu Vasiu ; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania

Puni tekst: engleski, pdf (866 KB) str. 269-281 preuzimanja: 660* citiraj
APA 6th Edition
Dragulescu, B., Bucos, M. i Vasiu, R. (2015). Social Network Analysis on Educational Data Set in RDF Format. Journal of computing and information technology, 23 (3), 269-281. https://doi.org/10.2498/cit.1002645
MLA 8th Edition
Dragulescu, Bogdan, et al. "Social Network Analysis on Educational Data Set in RDF Format." Journal of computing and information technology, vol. 23, br. 3, 2015, str. 269-281. https://doi.org/10.2498/cit.1002645. Citirano 28.02.2020.
Chicago 17th Edition
Dragulescu, Bogdan, Marian Bucos i Radu Vasiu. "Social Network Analysis on Educational Data Set in RDF Format." Journal of computing and information technology 23, br. 3 (2015): 269-281. https://doi.org/10.2498/cit.1002645
Harvard
Dragulescu, B., Bucos, M., i Vasiu, R. (2015). 'Social Network Analysis on Educational Data Set in RDF Format', Journal of computing and information technology, 23(3), str. 269-281. https://doi.org/10.2498/cit.1002645
Vancouver
Dragulescu B, Bucos M, Vasiu R. Social Network Analysis on Educational Data Set in RDF Format. Journal of computing and information technology [Internet]. 2015 [pristupljeno 28.02.2020.];23(3):269-281. https://doi.org/10.2498/cit.1002645
IEEE
B. Dragulescu, M. Bucos i R. Vasiu, "Social Network Analysis on Educational Data Set in RDF Format", Journal of computing and information technology, vol.23, br. 3, str. 269-281, 2015. [Online]. https://doi.org/10.2498/cit.1002645

Sažetak
The increased usage of information technologies in educational tasks resulted in high volume of data, exploited to build analytical systems that can provide practical insight in the learning process. In this paper, we propose a method of running social network analysis on multiple data sources (academic years, communication tools). To achieve this, the collected data that describe social interactions were converted into a common format by employing a prior developed semantic web educational ontology. Using a mapping language the relational data set was linked to the appropriate concepts defined in the ontology and then it was exported in RDF format. The means for SPARQL access was also provided. Subsequently, query patterns were defined for different social interactions in the educational platform. To prove the feasibility of this approach, Gephi tool set was used to run SNA (Social Network Analysis) on data obtained with the SPARQL queries. The added value of this research lies in the potential of this method to simplify running social network analysis on multiple data sets, on a specific course or the entire academic year, by simply modifying the query pattern.

Ključne riječi
social network analysis; learning analytics; semantic web; educational ontology

Hrčak ID: 144006

URI
https://hrcak.srce.hr/144006

Posjeta: 819 *