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Published August 26, 2019 | Version v1
Conference paper Open

A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications

  • 1. Institute of Information Technology, University of Klagenfurt, Austria

Description

With the rapidly increasing popularity of social media applications, decentralized control and ownership is taking more attention to preserve user’s privacy. However, the lack of central control in the decentralized social network poses new issues of collaborative decision making and trust to this permission-less environment. To tackle these problems and fulfill the requirements of social media services, there is a need for intelligent mechanisms integrated to the decentralized social media that consider trust in various aspects according to the requirement of services. In this paper, we describe an adaptive microservice-based design capable of finding relevant communities and accurate decision making by extracting semantic information and applying role-stage model while preserving anonymity. We apply this information along with exploiting Pareto solutions to estimate the trust in accordance with the quality of
service and various conflicting parameters, such as accuracy, timeliness, and latency.

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Additional details

Funding

ARTICONF – smART socIal media eCOsytstem in a blockchaiN Federated environment 825134
European Commission