Knowledge mining on network data about education; detecting music community attributes through Greek Association for Music Education web server logs

Κολυδάς, Τάσος

Προφορική Ανακοίνωση

Session Στάσεις, αντιλήψεις και τάσεις των εκπαιδευτικών μουσικής ( Sunday, 17-Apr-22 10:00:00 EEST )

Internet use is a key aspect of modern education and society (Herring, 2010). The World Wide Web in particular holds a special place for teachers, as they turn to it for information when they study, work and socialize. Web server logs contain a great deal of information about who uses a Web site and how they use it (Ingram, 1999). However, the volume of this information often raises problems for drawing conclusions (Liu, 2011; Monelli, & Sriramoju, 2018). Web data mining techniques have attracted research interest in this direction. Data mining methods are used to reveal hidden information on the Web and have been the subject of separate study (Sharma, Shrivastava & Kumar, 2011).

Visitor logs on the Greek Association for Music Education web server are a rich source of information for the music community in Greece. The purpose of the research is to detect some of the music community attributes through the user's online behavior on the GSME website. The anonymous "traces" stored over the last ten years on the web server logs can help us learn which web pages where visited by users, where did these users come from, which browsers were used to visit the site, which patterns appear over time (see Ingram, 1999) and so on. In this regard, the research can help highlight the ways in which the music community builds its digital identity, through website traffic on one of the most active associations in greek music education.

The research, combines methods from disciplines such as internet technologies, statistics, data mining and big data management. It also provides with an opportunity to examine digital activity over time, which adds a historical dimension. The results reveal the changing role of social media, the gradual transition to smart devices (smartphones & tablets) for browsing the web, the increase in community activity over time, etc. The research also aims to raise awareness on personal data protection by informing the music community about the traces we leave when browsing the World Wide Web.

  • Νέοι γραμματισμοί (ψηφιακός, πολυτροπικός, ηλεκτρονική πληροφορία)
  • Νέες μουσικές-τεχνολογικές εμπειρίες
  • Ψηφιακές μουσικές κοινότητες και εικονικά σύνολα
Keywords Web log data mining, Music communities, Internet technologies
Language Ελληνική
Author(s) CV

Tassos Kolydas is a member of the Laboratory-Teaching Staff of the Department of Music Studies of the National and Kapodistrian University of Athens. He has studied musicology (PhD), computer science (MSc), and guitar. He has published musicological and computer science papers in both Greek and international journals. He has presented papers on musicology and computer science at international conferences.

His teaching experience includes courses on history of music, guitar history in Europe, digital scores and electronic publications, and audio engineering. He has developed web applications for projects on digitising cultural collections on behalf of University of Athens, Greek National Opera, University of Ioannina and Institute of Research on Music and Acoustics. His research interests include Greek art music, Digital Management of Cultural Heritage and Information and Communication Technologies in Education.

A founding member of the musicological journal Polyphonia, he also serves as a member of its editorial committee. Kolydas has served as Executive Secretary of the Greek Music Council and Chairman of the Alumni of the Department of Music Studies of the University of Athens. He is a member of the Hellenic Musicological Society and the Greek Society for Music Education.

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