Social Web & Web Science


The Web has evolved from a technological infrastructure into a socio-technological phenomenon, where social interactions are established and maintained at an unprecedented scale. The social web is a prominent example for that development, and now accounts for a major part of online activities. Web Science has recently emerged as an interdisciplinary approach that aims to expand our understanding of social phenomena from various perspectives, by studying the Web as a vast network of people, communities, resources and their interactions. This track invites contributions that explore the use of knowledge-based techniques in the study of the Web as a socio-technical system, as well as the role that socio-technical issues play in influencing semantic web evolution, adoption, and technologies.



Topics of interest include but are not limited to the investigation of the following:

  • Collaborative creation of knowledge (e.g. knowledge graphs, Linked Data, Web markup/
  • Crowdsourcing semantics; methods, dynamics, and challenges
  • User consumption patterns of Semantic Web data, languages, and ontologies
  • Mining semantics from the (social) Web
  • Using semantics and knowledge for computational social science and study of psychological and sociological phenomena on the Web
  • Incentives, usage, and social processes related to the generation of knowledge and structured data on the Web
  • Semantic analysis of social media
  • Semantics for investigating bias and controversy on the Web
  • Analysis, evaluation, and management of online communities using semantics and structured knowledge
  • Semantic social network analysis, representation, and management
  • User modelling using semantics and knowledge
  • Semantically enabled social platforms and applications:
  • Querying, mining and analysis of user generated data and dynamics
  • Ubiquitous Social Semantic Web
  • Social machines and collective intelligence
  • Semantic technologies to support trust, privacy, access control, anonymity, and security for the social Web

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