International Workshop on Multimodal Social Data Management (MSDM 2014) at EDBT/ICDT 2014

CALL FOR PAPERS

MSDM 2014 - EDBT/ICDT International Workshop on Multimodal Social Data

Management

Co-located with EDBT/ICDT 2014

March, 28th 2014 - Athens, Greece

Home page: http://hdm.di.unito.it/msdm2014/ 

Submission deadline: December, 7th 2013

WORKSHOP DESCRIPTION
--------------------
In recent years, social media platforms have continued to grow in popularity
and have become an interesting source of heterogeneous data for many
application areas such as finance, telecommunications, biology, security,
logistics, entertainment, social television. Even if all these data are
really attractive and impactful, given the breadth of potential applications
in the big data space, their management is still a great challenge. The
workshop will bring together experts in social network analysis, natural
language processing, multimodal data management and integration, scalable
data analysis, machine learning as well as researchers active in the
multiple industrial application domains.

The idea underlying the workshop is to create a one day event where
researchers can discuss their contributions in the following topics (but
not limited to) :
-Analysis of different media data (text, speech, video, images, relational
data) -Scalable data processing and analysis -Social context understanding
-Sentiment analysis -Community detection -Social targeting -Social media and
entertainment, including social television -Mining of
multi-format/multimedia/multi-modal social data -Topic and event detection
in social data -Tensor based Analysis for heterogeneous data -Visualization
Techniques for social data -Social Crowdsourcing Data Management -Spatial
and temporal data management in social media -Semantic Data Management in
social media -Applications of social media, such as Health, Finance, Energy,
Education, Entertainment domain

Authors are invited to submit original research papers that present novel
research ideas as well as greenhouse work, which present early stages of
cutting-edge research and development. Position papers regarding work on the
beginning and industry papers are also welcome.Papers submitted should be at
most 6 pages long, and must be submitted in PDF format according to the ACM
double-column format via EasyChair.
The proceedings of all EDBT workshops will also be published in ACM Digital
Library.

Please note that the presentation of any paper accepted in the workshop
requires that at least one of the authors must be registered to the
conference at the regular registration rate.

Follow us on Twitter:
@msdm2014
#msdm2014

CO-CHAIRS
---------
Antonio Penta , University of Turin, Italy
Claudio Schifanella , University of Turin, Italy

STEERING COMMITTEE
-----------------
Carlos Ruiz, playence GmbH, Austria
Maria Luisa Sapino, University of Turin, Italy

PROGRAM COMMITTEE
----------------
http://hdm.di.unito.it/msdm2014/organizers.html

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Open PhD Positions in DERI,NUI Galway/INSIGHT National Centre for Data Analytics

 We have a number of PhD positions funded by the new INSIGHT National Centre for Data Analytics <http://www.insight-centre.org/>. The positions will be based at DERI <http://deri.ie/> at NUI Galway and will address the following area.

Real time analytics of social, semantic and linked data

The widespread use of the social web and mobile devices and the availability of large collaboratively-maintained, multi-domain knowledge sources such as Wikipedia and DBpedia have created the potential to consolidate and link data from several sources into enormous heterogeneous networked data sets consisting of nodes and edges with inherent semantic meaning, interdependence and provenance.

While graph analytics and processing frameworks generally consider generic edges and nodes, we plan to address the challenges in the analysis of large heterogeneous information networks – influence measurement, information propagation, similarity calculation and clustering, structural role analysis, the detection of dependent concepts and latent relationships, real time analytics, the use and extraction of network schemas, and approaches for user-guided querying due to the additional complexity of the network space.

In parallel, we will address techniques to consolidate various sources of social semantic data, and to improve the quality of user-generated content through techniques such as gamification and the identification of authoritative users in crowdsourcing efforts.

The research will be applied in the following domains (amongst others)

* Novel scientometrics based on analysis of social media and Web data
* Real time social media analytics for large customer support centres
* Real time recommendation of knowledge/related topics for media outlets with large archives
* Social media analytics to identify influential users and their behaviours in the domain of digital media broadcasting

Some of the core challenges will be :

* Novel approaches to Social Network Analysis and Graph Mining on heterogeneous networks to uncover dependent concepts, labels, latent relationships and for causality exploration
* Scalable and interpretable user/group role analysis and modelling
* Graph-based real-time recommendation approaches using Linked Data as a source of open background data
* Spatio-temporal correlation analysis on linking patterns to uncover root causes of changes to network structure
* Predictive models of social network evolution and significant events such as churn, community formation
* Stream-computing models for mining massive heterogeneous graphs - for example graphs combining social and linked-data
* Hybrid graph mining techniques combining statistical and logic, inductive and deductive approaches
* Crawling, consolidation and indexing of social semantic data so that it can be exploited for large-scale real-time analytics
* Evaluation and verification of crowd-sourced user-generated content

*How to apply:*

Applicants should have an excellent primary degree in computer science, maths or a relevant discipline (e.g. computationally focused social science). A master's degree would be a benefit. Applicants are asked to familiarise themselves with our previous research and to write a letter of introduction explaining their interest in the research we conduct and why they believe they are suitable for the position.

Each application should only contain a CV and the letter of introduction - please do not include references, testimonials, certificates, university grades etc. We may request these later.

Applications should be sent to conor.hayes@nuigalway.ie with the subject line INSIGHTSW3. The deadline for this application is July 31st, but potential applicants are encouraged to submit early.

For more information, please visit <http://uimr.deri.ie/vacancies/>

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Three postdoc positions in social data management @ University of Bologna, Italy

We invite applications for three post-doctoral researcher positions in social data management on project IMPACT (http://impact.cs.unibo.it), funded by the Italian Ministry for Education, University and Research. The positions are at the Department of Computer Science, University of Bologna, Italy (http://www.informatica.unibo.it).

All three positions are for 12+12 months (the contract can be renewed after the first year by mutual agreement). Annual gross salary will be around 23.000 Euro  (please, notice that the amount is tax free (IRPEF exempt) and includes social security). Expected starting date: September 2013 (flexible). The main goal of the IMPACT research program is to develop methodologies and algorithms to store and efficiently retrieve information from Social Network Sites and to identify relevant structural and communication patterns. The project is hosted by the University of Bologna (http://www.eng.unibo.it), one of the oldest universities in the World in a beautiful "young" city offering lots of cultural initiatives (http://www.bolognawelcome.com/en/). The research positions are linked to the Department of Computer Science and Engineering (http://www.cse.unibo.it/en).

Requirements:

- PhD in Computer Science or related fields (Physics, Mathematics, Statistics).
- Experience in database systems and/or information retrieval and/or data mining.
- A good command of oral and written English (knowledge of Italian is not required).

Plus:

- Knowledge of complex/social networks.
- Experience in interdisciplinary research.

If interested and for any inquiries please contact Dr. Matteo Magnani (matteo.magnani@isti.cnr.it) asap.

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