| SUBJECT AREA DESCRIPTION AND MOTIVATION |
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Some statistical estimations reveal that the number of social media users will reach more than 2 billion by 2018. Consequently, "the social media analytics market will grow to $2.73 billion in 2019".
Social media generate a substantial amount of data, including among others: short and long texts, images, sounds, videos, and geographical data. Generally, these data are either unstructured or semi-structured and their volume grows at a very fast rate. Social data become then a substantial part of the Big Data pie.
Potentially, social data constitute a vault information for multiple application domains. The most important ones include sales and marketing as well as security. The main problems in getting the information from the vault are: (1) how to efficiently analyze unstructured or semi-structured data, (2) how to efficiently analyze huge data volumes that grow fast, and (3) how to visualize the results of analyses. Some answers to these questions come with the so-called Social Business Intelligence (SBI).
SBI focuses on social media analytics in a way traditional data are analyzed by the Business Intelligence technologies. Thus, the research and technological efforts in SBI focus on providing means for seeing social data as cube-like and for processing cubes by means of OLAP-like applications. The most typical applications for social data analysis include: opinion mining, customer classification, churn analysis, social network analytics, thread detection (e.g, malware and hacker attacks), and forecasting.
Some of the challenges that still need to be solved include: (1) techniques for modeling social data in a way suitable for analytical processing, including KPIs, (2) techniques and tools for collecting fast growing and rapidly changing social data, (3) assuring a high quality of data, (4) architectures, tools, and techniques for efficient analysis of social data, (5) algorithms for predictive and prescriptive analytics, (6) architectures for making social BI available not only for large but also for small companies.
Despite the fact, that SBI becomes a hot research and technological topic and despite the fact that some research, prototype, and commercial solutions have been already provided, there exist multiple open research and technological issues. Most of them were reflected in the list of this workshop topics of interest.
In 2013, in association with the ADBIS conference, the First International Workshop on Social Business Intelligence (SoBI) was organized by Prof. Stefano Rizzi and Prof. Matteo Golfarelli. Following, their initiative, and observing a high interest in analyzing social data, we are organizing the workshop on the same topic this year.
| MAJOR TOPICS OF INTEREST |
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- techniques and architectures for integrating social data sources
- requirements engineering for social BI
- social data modeling for analytics
- data models and query languages for social data
- social data quality metrics, measurement, and assurance
- KPIs, user interfaces, and visualization techniques
- frameworks and architectures for social analytics
- tools and techniques for handling historical social data
- algorithms, tools, and techniques for social data analysis
- algorithms, tools, and techniques for forecasting
- self-service and social BI automation
- case studies on social BI applications
| PUBLICATION |
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A volume with workshop papers will be published by Springer in the Advances in Intelligent Systems and Computing (AISC) series.
The authors of the best workshop papers will be invited to prepare extended versions of their papers after the workshop. Following an additional round of reviews, the extended papers will appear in a special issue of Information System Frontiers, Springer.
Each paper will be reviewed by at least two Program Committee members. Duplicate submissions are not allowed, i.e. submitted papers must not overlap substantially with any other papers of the same authors submitted elsewhere.
| PAPER LENGTH |
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Camera-ready papers are to be prepared in LaTeX (detailed instructions will be provided). The length of papers must not exceed 12 pages of the AISC format (see Instructions for Authors at Springer Website - Word/Latex Template).
| WORKSHOP CHAIRS |
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- Neamat El Tazi (FCI Cairo University, Egypt, n[dot]eltazi[at]fci-cu[dot]edu[dot]eg)
- Selma Khouri (ISAE-ENSMA, France, selma[dot]khouri[at]ensma[dot]fr)
- Robert Wrembel (Poznan University of Technology, Poland, robert[dot]wrembel[at]cs[dot]put[dot]poznan[dot]pl)
| PROGRAM COMMITTEE |
|---|
- Faten Atigui, Conservatoire National des Arts et Métiers, France
- Victoria Nebot, Universitat Jaume I Castellón, Spain
- Jorge Bernardino, ISEC-Polytechnic Institute of Coimbra, Portugal
- Jérôme Darmont, Université Lyon 2, France
- Todd Eavis, Concordia University, Canada
- Cécile Favre, Université Lyon 2, France
- Neveen El Gamal, Cairo University, Egypt
- Matteo Golfarelli, University of Bologna, Italy
- Patrick Marcel, François-Rabelais de Tours, France
- Hoda Mokhtar, Cairo University, Egypt
- Mikołaj Morzy, Poznan University of Technology, Poland
- Elsa Negre, Université Paris-Dauphine, France
- Stefano Rizzi, University of Bologna, Italy
- Oscar Romero, Universitat Politecnica de Catalunya, Spain
- Mohamed El Sharkawi, Cairo University, Egypt
- Maik Thiele, Technische Universität Dresden, Germany
- Alejandro Vaisman, Universidad de Buenos Aires, Argentina
