Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis

Bilal Abu Salih; Pornpit Wongthongtham; Seyed Mehdi Reza Beheshti; Behrang Zajabbari

doi:10.1007/978-981-13-1799-6_54

Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis

Bilal Abu Salih^*, Pornpit Wongthongtham, Seyed Mehdi Reza Beheshti, Behrang Zajabbari

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

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.

Original language	English
Title of host publication	Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)
Editors	Jemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan
Place of Publication	Singapore
Publisher	Springer-VDI-Verlag GmbH & Co. KG
Pages	519-527
Number of pages	9
ISBN (Electronic)	9789811317996
ISBN (Print)	9789811317972
DOIs	https://doi.org/10.1007/978-981-13-1799-6_54
Publication status	Published - 1 Jan 2019
Externally published	Yes
Event	2nd International Conference on Advanced Data and Information Engineering, DaEng 2015 - Bali, Indonesia Duration: 25 Apr 2015 → 26 Apr 2015

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	520
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	2nd International Conference on Advanced Data and Information Engineering, DaEng 2015
Country	Indonesia
City	Bali
Period	25/04/15 → 26/04/15

Keywords

Big social data
Business intelligence
Data warehouse
Linked data
Ontology
Trust

Access to Document

10.1007/978-981-13-1799-6_54

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis'. Together they form a unique fingerprint.

Cite this

Abu Salih, B., Wongthongtham, P., Beheshti, S. M. R., & Zajabbari, B. (2019). Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis. In J. H. Abawajy, M. Othman, R. Ghazali, M. M. Deris, H. Mahdin, & T. Herawan (Eds.), Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) (pp. 519-527). (Lecture Notes in Electrical Engineering; Vol. 520). Singapore: Springer-VDI-Verlag GmbH & Co. KG. https://doi.org/10.1007/978-981-13-1799-6_54

Abu Salih, Bilal ; Wongthongtham, Pornpit ; Beheshti, Seyed Mehdi Reza ; Zajabbari, Behrang. / Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis. Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015). editor / Jemal H. Abawajy ; Mohamed Othman ; Rozaida Ghazali ; Mustafa Mat Deris ; Hairulnizam Mahdin ; Tutut Herawan. Singapore : Springer-VDI-Verlag GmbH & Co. KG, 2019. pp. 519-527 (Lecture Notes in Electrical Engineering).

@inproceedings{d68ce0384cbf448a9b0e10ed4409365b,

title = "Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis",

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.",

keywords = "Big social data, Business intelligence, Data warehouse, Linked data, Ontology, Trust",

author = "{Abu Salih}, Bilal and Pornpit Wongthongtham and Beheshti, {Seyed Mehdi Reza} and Behrang Zajabbari",

year = "2019",

month = "1",

day = "1",

doi = "10.1007/978-981-13-1799-6_54",

language = "English",

isbn = "9789811317972",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer-VDI-Verlag GmbH & Co. KG",

pages = "519--527",

editor = "Abawajy, {Jemal H.} and Mohamed Othman and Rozaida Ghazali and Deris, {Mustafa Mat} and Hairulnizam Mahdin and Tutut Herawan",

booktitle = "Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)",

address = "Germany",

}

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 JH Abawajy, M Othman, R Ghazali, MM Deris, H Mahdin & T Herawan (eds), Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015). Lecture Notes in Electrical Engineering, vol. 520, Springer-VDI-Verlag GmbH & Co. KG, Singapore, pp. 519-527, 2nd International Conference on Advanced Data and Information Engineering, DaEng 2015, Bali, Indonesia, 25/04/15. https://doi.org/10.1007/978-981-13-1799-6_54

Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis. / Abu Salih, Bilal; Wongthongtham, Pornpit; Beheshti, Seyed Mehdi Reza; Zajabbari, Behrang.

Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015). ed. / Jemal H. Abawajy; Mohamed Othman; Rozaida Ghazali; Mustafa Mat Deris; Hairulnizam Mahdin; Tutut Herawan. Singapore : Springer-VDI-Verlag GmbH & Co. KG, 2019. p. 519-527 (Lecture Notes in Electrical Engineering; Vol. 520).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

TY - GEN

T1 - Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis

AU - Abu Salih, Bilal

AU - Wongthongtham, Pornpit

AU - Beheshti, Seyed Mehdi Reza

AU - Zajabbari, Behrang

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Big social data

KW - Business intelligence

KW - Data warehouse

KW - Linked data

KW - Ontology

KW - Trust

UR - http://www.scopus.com/inward/record.url?scp=85071506990&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-1799-6_54

DO - 10.1007/978-981-13-1799-6_54

M3 - Conference proceeding contribution

SN - 9789811317972

T3 - Lecture Notes in Electrical Engineering

SP - 519

EP - 527

BT - Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)

A2 - Abawajy, Jemal H.

A2 - Othman, Mohamed

A2 - Ghazali, Rozaida

A2 - Deris, Mustafa Mat

A2 - Mahdin, Hairulnizam

A2 - Herawan, Tutut

PB - Springer-VDI-Verlag GmbH & Co. KG

CY - Singapore

ER -

Abu Salih B, Wongthongtham P, Beheshti SMR, Zajabbari B. Towards a methodology for social business intelligence in the era of big social data incorporating trust and semantic analysis. In Abawajy JH, Othman M, Ghazali R, Deris MM, Mahdin H, Herawan T, editors, Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015). Singapore: Springer-VDI-Verlag GmbH & Co. KG. 2019. p. 519-527. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-13-1799-6_54