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 proceedingConference 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 languageEnglish
Title of host publicationProceedings of the International Conference on Data Engineering 2015 (DaEng-2015)
EditorsJemal H. Abawajy, Mohamed Othman, Rozaida Ghazali, Mustafa Mat Deris, Hairulnizam Mahdin, Tutut Herawan
Place of PublicationSingapore
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages519-527
Number of pages9
ISBN (Electronic)9789811317996
ISBN (Print)9789811317972
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event2nd International Conference on Advanced Data and Information Engineering, DaEng 2015 - Bali, Indonesia
Duration: 25 Apr 201526 Apr 2015

Publication series

NameLecture Notes in Electrical Engineering
Volume520
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2nd International Conference on Advanced Data and Information Engineering, DaEng 2015
CountryIndonesia
CityBali
Period25/04/1526/04/15

Keywords

  • Big social data
  • Business intelligence
  • Data warehouse
  • Linked data
  • Ontology
  • Trust

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