Conference paper Open Access

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

Samani, Zahra Najafabadi; Lercher, Alexander; Saurabh, Nishant; Prodan, Radu


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    <subfield code="a">semantic information</subfield>
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    <subfield code="a">community detection</subfield>
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    <subfield code="a">Seventh Workshop on   Large Scale Distributed Virtual Environments,   LSDVE 2019  in conjunction of Euro-Par 2019</subfield>
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    <subfield code="u">Institute of Information Technology, University of Klagenfurt, Austria</subfield>
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    <subfield code="u">Institute of Information Technology, University of Klagenfurt, Austria</subfield>
    <subfield code="a">Samani, Zahra Najafabadi</subfield>
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    <subfield code="a">A Semantic Model with Self-Adaptive and Autonomous Relevant Technology for Social Media Applications</subfield>
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    <subfield code="a">smART socIal media eCOsytstem in a blockchaiN Federated environment</subfield>
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    <subfield code="a">&lt;p&gt;With the rapidly increasing popularity of social media applications, decentralized control and ownership is taking more attention to preserve user&amp;rsquo;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&lt;br&gt;
service and various conflicting parameters, such as accuracy, timeliness, and latency.&lt;/p&gt;</subfield>
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