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Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) pp 519–527Cite as

Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 520))

Abstract

Business intelligence applications support decision makers by providing meaningful information from extracted data mainly coming from operational databases and structured data sources. However, the volume of unstructured data is growing very fast especially when analysing external data such as customers’ reviews in social media. It is essential to determine the reputation of the source to the analysts, so that they can take into account the trust value of each source in their analysis. Another important consideration is the semantics of extracted textual data from which meaningful information is derived. The aim of this paper is to provide readers with an understanding of the central concepts and the current state-of-the-art in social trust and semantic analysis of big social data. We provide an in depth analysis of existing challenges and identify set of quality attributes to be used as guide for designing and evaluating architectures of big social trust.

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Author information

Authors and Affiliations

  1. School of Information Systems, Curtin University, Perth, Australia

    Bilal Abu Salih, Pornpit Wongthongtham & Seyed-Mehdi-Reza Beheshti

  2. School of Computer Science and Engineering, University of New South Wales, Kensington, Australia

    Seyed-Mehdi-Reza Beheshti

  3. GE Australia Richmond, Melbourne, VIC, 3121, Australia

    Behrang Zajabbari

Authors
  1. Bilal Abu Salih
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  2. Pornpit Wongthongtham
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  3. Seyed-Mehdi-Reza Beheshti
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  4. Behrang Zajabbari
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Corresponding author

Correspondence to Bilal Abu Salih .

Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Malaysia

    Mohamed Othman

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Rozaida Ghazali

  4. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Mustafa Mat Deris

  5. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Hairulnizam Mahdin

  6. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

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© 2019 Springer Nature Singapore Pte Ltd.

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Cite this paper

Abu Salih, B., Wongthongtham, P., Beheshti, SMR., Zajabbari, B. (2019). Towards a Methodology for Social Business Intelligence in the Era of Big Social Data Incorporating Trust and Semantic Analysis. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_54

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