Browsing Data Science Institute (Conference Papers) by Author "d’Aquin, Mathieu"

Now showing items 1-8 of 8

    • AFEL-Analytics for Everyday Learning 

      d’Aquin, Mathieu; Kowald, Dominik; Fessl, Angela; Lex, Elisabeth; Thalmann, Stefan (ACM, 2018-04-23)
      The goal of AFEL is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, ...

    • AFEL: Towards measuring online activities contributions to self-directed learning 

      d’Aquin, Mathieu; Adamou, Alessandro; Dietze, Stefan; Fetahu, Besnik; Gadiraju, Ujwal; Hasani-Mavriqi, Ilire; Holtz, Peter; Kimmerle, Joachim; Kowald, Dominik; Lex, Elisabeth; López Sola, Susana; Maturana, Ricardo A.; Sabol, Vedran; Troullinou, Pinelopi; Veas, Eduardo (CEUR-WS.org, 2017-09-12)
      More and more learning activities take place online in a selfdirected manner. Therefore, just as the idea of self-tracking activities for fitness purposes has gained momentum in the past few years, tools and methods for ...

    • Analysing and improving embedded markup of learning resources on the web 

      Dietze, Stefan; Taibi, Davide; Yu, Ran; Barker, Phil; d’Aquin, Mathieu (ACM, 2017-04-03)
      Web-scale reuse and interoperability of learning resources have been major concerns for the technology-enhanced learning community. While work in this area traditionally focused on learning resource metadata, provided ...

    • Measuring accuracy of triples in knowledge graphs 

      Liu, Shuangyan; d’Aquin, Mathieu; Motta, Enrico (Springer, 2017-06-19)
      An increasing amount of large-scale knowledge graphs have been constructed in recent years. Those graphs are often created from text-based extraction, which could be very noisy. So far, cleaning knowledge graphs are ...

    • An ontology-based approach to improve the accessibility of ROS-based robotic systems 

      Tiddi, Ilaria; Bastianelli, Emanuele; Bardaro, Gianluca; d’Aquin, Mathieu; Motta, Enrico (ACM, 2017-12-04)
      The focus of this work is to exploit ontologies to make robotic systems more accessible to non-expert users, therefore supporting the deployment of robot-integrated applications. Due to the increasing number of robotic ...

    • Propagating data policies: a user study 

      Daga, Enrico; d’Aquin, Mathieu; Motta, Enrico (ACM, 2017-11-04)
      When publishing data, data licences are used to specify the actions that are permitted or prohibited, and the duties that target data consumers must comply with. However, in complex environments such as a smart city ...

    • Re-coding Black Mirror Chairs' Welcome & Organization 

      Troullinou, Pinelopi; d’Aquin, Mathieu; Tiddi, Ilaria (ACM, 2018-04-23)
      This volume of proceedings presents the papers from the 2nd edition of the interdisciplinary workshop Re-coding Black Mirror, held on April 24, 2018 in Lyon, France and co-located with The WEB Conference (WWW2018). ...

    • Unsupervised learning for understanding student achievement in a distance learning setting 

      Liu, Shuangyan; d’Aquin, Mathieu (IEEE, 2017-04-25)
      Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role ...