Social semantic web

The Social Semantic Web (SSW) refers to the integration of Social and Semantic Web technologies, which enables the interoperability and interlinking of social media platforms through the use of various vocabularies such as Friend Of A Friend (FOAF), Semantically Interlinked Online Communities (SIOC), and CommonTag. The vision of SSW is to provide a common representation of social content across applications.From: Media Networks: Architectures, Applications, and Standards [2016], Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs [2022]

Semantically Linked Media for Interactive User-Centric Services

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Published in Hassnaa Moustafa, Sherali Zeadally, Media Networks: Architectures, Applications, and Standards, 2016

Violeta Damjanovic, Thomas Kurz, Georg Güntner, Sebastian Schaffert, Lyndon Nixon

With respect to the interoperability and interlinking of social media platforms, various vocabularies such as Friend Of A Friend (FOAF) [35], Semantically Interlinked Online Communities (SIOC) [36], CommonTag, have been provided to enable common representation of social content across applications, following the vision of Social Semantic Web that is given in Ref. [37]. However, while they are already adopted as reference vocabularies, they are still not widely deployed on the Web. Thus, there is a need for applications to enable easy translation of the existing platforms to Web 2.0 data, as well as for frameworks to enable automated, effortless publishing of Web media content based on those vocabularies.

Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs

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Published in Cogent Engineering, 2022

Abhinav Agarwal, Divyansh Shankar Mishra, Sucheta V. Kolekar

Jeremić et al. (Jeremić et al., 2013) have discussed about the integration of Social and Semantic Web technologies, often referred to as the Social Semantic Web (SSW). Authors have identified the main principles on which such SSW-supported personal learning environments are based, and illustrate them through the design, implementation, analysis, and evaluation of the system. This approach further explores the potential and implications that novel data-driven technologies have on the interactive and collaborative aspects of personal learning environments.

Social semantic web

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Semantically Linked Media for Interactive User-Centric Services

Knowledge-based recommendation system using semantic web rules based on Learning styles for MOOCs