Aim and Scope
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Social Business Intelligence (SBI) is the discipline of effectively and efficiently combining corporate data with social data to let decision-makers effectively analyze and improve their business based on the trends and moods perceived from the environment. As in traditional Business Intelligence, the goal is to enable powerful and flexible analyses for users with a limited expertize in databases and ICT.

SBI is at the cross-road of several areas in Computer Science such as Database Systems, Information Retrieval, Data Mining, Natural Language Processing, and Human-Computer Interaction. Though the ongoing research in these single fields has made available a bunch of results and enabling technologies for SBI, an overall view of the related problems and solutions is still missing. Besides, the peculiarities of SBI systems open new research problems in all the previous areas.

The goal of the SoBI workshop is to put together researchers and practitioners coming from different areas related to SBI for sharing their findings and cross-fertilizing their researches.

High-quality papers are solicited on all the research areas related to Social BI. Suggested topics include (but are not limited to) the following:

- Algorithms and Techniques
- Text mining and topic discovery
- Integration of social data
- Opinion mining and sentiment analysis
- Mass opinion estimation and trend detection in social data
- Emotion detection and analysis in sentences, documents, and speech transcripts
- Multilingual sentiment analysis
- SBI and the semantic web
- Extraction, transformation, and loading for SBI
- Computational treatment of large amounts of user-generated content
- Query processing, optimization, and performance
- Visual interfaces and OLAP on social data
- Analytics for SBI
- Mining and what-if analysis on social data
- Architectures and Methodology
- Advanced architectures for SBI
- Cloud SBI
- Tools for SBI
- Spatial data warehouses and location intelligence
- Methodological support for SBI
- Requirement analysis, design, implementation, and testing of SBI systems
- Modeling of social data
- Methods and benchmarks for evaluating SBI systems
- Case studies and project experiences


Workshop Location
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The conference will take place in the historic building of Villa Giustiniani-Cambiaso, Genoa.


Submission Guidelines and Instructions
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Papers in PDF should be submitted via EasyChair(https://www.easychair.org/conferences/?conf=SOBI2013); author guidelines will be announced soon. Papers will be refereed based on their scientific merit and relevance to the workshop. Each paper will be reviewed by at least two Program Committee members. Duplicate submissions are not tolerated.

Submission implies the willingness of at least one of the authors to register and present the paper during the workshop.
Conference and workshop fees are announced on the ADBIS webpage.


Paper Publication
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Accepted papers will the workshop proceedings will be published by Springer in the Advances in Intelligent Systems and Computing series (http://www.springer.com/series/11156)

Extended versions of the best workshop papers will be invited after the conference to an international journal (details to be announced). The publication of selected papers in this journal will be subject to a second round of reviews (to verify if the paper satisfies the journal requirements).


Program Co-Chairs
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Matteo Golfarelli, DISI University of Bologna, Italy (http://bias.csr.unibo.it/golfarelli/)
Stefano Rizzi, DISI University of Bologna, Italy (http://www-db.deis.unibo.it/~srizzi/)

Program Committee
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Please, access the updated list at http://big.csr.unibo.it/?q=Program-Committee


For more information and any inquire, please contact Matteo Golfarelli at matteo.golfarelli@unibo.it