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

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

doi:10.1007/978-3-030-48340-1_34

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

Zahra Najafabadi Samani^*, Alexander Lercher, Nishant Saurabh, Radu Prodan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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.

Original language	English
Title of host publication	Euro-Par 2019
Subtitle of host publication	Parallel Processing Workshops - International Workshops, Revised Selected Papers
Editors	Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott
Publisher	Springer
Pages	442-451
Number of pages	10
ISBN (Print)	9783030483395
DOIs	https://doi.org/10.1007/978-3-030-48340-1_34
Publication status	Published - 2020
Event	25th International European Conference on Parallel and Distributed Computing, EuroPar 2019 - Göttingen, Germany Duration: 26 Aug 2019 → 30 Aug 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11997 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	25th International European Conference on Parallel and Distributed Computing, EuroPar 2019
Country/Territory	Germany
City	Göttingen
Period	26/08/19 → 30/08/19

Bibliographical note

Funding Information:
Acknowledgments. This work was accomplished as a part of project “ARTICONF” (http://www.articonf.eu/), funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No 644179. The authors would also like to thank anonymous reviewers for their valuable comments.

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Funding

Acknowledgments. This work was accomplished as a part of project “ARTICONF” (http://www.articonf.eu/), funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No 644179. The authors would also like to thank anonymous reviewers for their valuable comments.

Keywords

Community detection
Decentralized social media
Pareto-trust
Role-stage model
Semantic information

Access to Document

10.1007/978-3-030-48340-1_34

Cite this

Najafabadi Samani, Z., Lercher, A., Saurabh, N., & Prodan, R. (2020). A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. In U. Schwardmann, C. Boehme, D. B. Heras, V. Cardellini, E. Jeannot, A. Salis, C. Schifanella, R. R. Manumachu, D. Schwamborn, L. Ricci, O. Sangyoon, T. Gruber, L. Antonelli, & S. L. Scott (Eds.), Euro-Par 2019: Parallel Processing Workshops - International Workshops, Revised Selected Papers (pp. 442-451). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11997 LNCS). Springer. https://doi.org/10.1007/978-3-030-48340-1_34

Najafabadi Samani, Zahra ; Lercher, Alexander ; Saurabh, Nishant et al. / A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. Euro-Par 2019: Parallel Processing Workshops - International Workshops, Revised Selected Papers. editor / Ulrich Schwardmann ; Christian Boehme ; Dora B. Heras ; Valeria Cardellini ; Emmanuel Jeannot ; Antonio Salis ; Claudio Schifanella ; Ravi Reddy Manumachu ; Dieter Schwamborn ; Laura Ricci ; Oh Sangyoon ; Thomas Gruber ; Laura Antonelli ; Stephen L. Scott. Springer, 2020. pp. 442-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications",

abstract = "With the rapidly increasing popularity of social media applications, decentralized control and ownership is taking more attention to preserve user{\textquoteright}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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Najafabadi Samani, Z, Lercher, A, Saurabh, N & Prodan, R 2020, A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. in U Schwardmann, C Boehme, D B. Heras, V Cardellini, E Jeannot, A Salis, C Schifanella, RR Manumachu, D Schwamborn, L Ricci, O Sangyoon, T Gruber, L Antonelli & SL Scott (eds), Euro-Par 2019: Parallel Processing Workshops - International Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11997 LNCS, Springer, pp. 442-451, 25th International European Conference on Parallel and Distributed Computing, EuroPar 2019, Göttingen, Germany, 26/08/19. https://doi.org/10.1007/978-3-030-48340-1_34

A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. / Najafabadi Samani, Zahra; Lercher, Alexander; Saurabh, Nishant et al.
Euro-Par 2019: Parallel Processing Workshops - International Workshops, Revised Selected Papers. ed. / Ulrich Schwardmann; Christian Boehme; Dora B. Heras; Valeria Cardellini; Emmanuel Jeannot; Antonio Salis; Claudio Schifanella; Ravi Reddy Manumachu; Dieter Schwamborn; Laura Ricci; Oh Sangyoon; Thomas Gruber; Laura Antonelli; Stephen L. Scott. Springer, 2020. p. 442-451 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11997 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Funding Information: Acknowledgments. This work was accomplished as a part of project “ARTICONF” (http://www.articonf.eu/), funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No 644179. The authors would also like to thank anonymous reviewers for their valuable comments. Publisher Copyright: © 2020, Springer Nature Switzerland AG.

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KW - Role-stage model

KW - Semantic information

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PB - Springer

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Najafabadi Samani Z, Lercher A, Saurabh N, Prodan R. A Semantic Model with Self-adaptive and Autonomous Relevant Technology for Social Media Applications. In Schwardmann U, Boehme C, B. Heras D, Cardellini V, Jeannot E, Salis A, Schifanella C, Manumachu RR, Schwamborn D, Ricci L, Sangyoon O, Gruber T, Antonelli L, Scott SL, editors, Euro-Par 2019: Parallel Processing Workshops - International Workshops, Revised Selected Papers. Springer. 2020. p. 442-451. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-48340-1_34

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

Abstract

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Bibliographical note

Funding

Keywords

Access to Document

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