The following workshops are co-located with the EDBT/ICDT 2018 conference in Vienna, Austria. The workshops will be held on March 26, 2018.

Please refer to the websites of each workshop for the pertinent call for papers.

DOLAP: The 20th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data

Data Warehouse (DW) and Online Analytical Processing (OLAP) technologies are the core of current Decision Support Systems. The widespread deployment of both DWs and OLAP technologies is due to the intuitive representation of data and simple primitives provided to data analysts or managers in support of management decisions. Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support.

BI of the future will be significantly different than what the current state-of-the-practice supports. The trend is to move from the current decision support systems that are "data presenting" to more dynamic systems that allow the semi-automation of the decision making process. This means that the systems partially guide their users towards data discovery, intuition and system-aided decision making via intelligent techniques and visualization. In the back stage, the thrust of the big data era, with the requires that new methods, models, techniques, or architecture are needed to cope with the increasing demand in capacity, data type diversity and responsiveness. And of course, this does not necessarily mean to re-invent the wheel, but rather, as recommended by Gartner to companies regarding BD adoption, "Build on existing BI programs - don't abandon or segregate them". We envision DOLAP 2018 as a venue where novel ideas around these new landscapes of business intelligence and big data are fostered and nurtured and new exiting results are produced, in an attempt to build a strong, vibrant community around these areas.

Nineteen DOLAP workshops have been held in the past with great success. During these years, DOLAP has been established as one of the reference places for researchers to publish their work in the area of data warehousing and OLAP and maintains a high quality of accepted papers. Like the previous DOLAP workshops, DOLAP 2018 aims at synergistically connecting the research community and industry practitioners and provides an international forum where both researchers and practitioners can share their findings in theoretical foundations, current methodologies, and practical experiences, and where industry technology developers can describe technical details about their products and companies exploiting BI and Big Data technology can discuss case studies and experiences.

Important Dates for DOLAP

  • Submission deadline: October 29, 2017
  • Notification after 1st round: December 4, 2017
  • Notification after 2nd round: January 18, 2018
  • Camera-ready deadline: January 29, 2018

For further information, see also the homepage .

DARLI-AP: 2nd International workshop on Data Analytics solutions for Real-LIfe APplications

DARLI-AP is a workshop aimed at promoting and sharing research and innovation on data analytics solutions/strategies for real-life and cutting-edge applications. The use of Information and Communication Technologies has made available a huge amount of heterogeneous data in various real application domains (e.g., smart cities, health care systems, financial applications, banking and insurance, Industry 4.0). A data scientist is required to tackle the no-trivial task of selecting the best techniques to effectively and efficiently deal with issues related to storage, search, sharing, modelling, analysis, and visualization of data, information, and knowledge. The complexity of the task increases with variable data distribution, data heterogeneity and data volume. Furthermore, a rich spectrum of knowledge can be extracted from real-data to characterize user behaviours, identify weaknesses and strengths, improve the quality of provided services or even devise new ones, thus increasing the benefits of the real-life applications.

The aim of the workshop is to allow academics and practitioners from various research areas to share their experiences on designing cutting-edge analytics solutions for real-life applications. Researchers are encouraged to submit their work-in-progress research activity describing innovative methodologies, algorithms, platforms addressing all facets of a data analytics process providing interesting and useful services.

Industrial implementations of data analytics applications, design and deployment experience reports on various issues raising data analytics projects are particularly welcome. We call for research and experience papers as well as demonstration proposals covering any aspect of data analytics solutions for real-life applications.

Important Dates for DARLI-AP

  • Submission deadline: December 23, 2017
  • Notification of evaluation results: January 10, 2017
  • Camera-ready deadline: January 29, 2018

For further information, see also the homepage .

BigVis: International Workshop on Big Data Visual Exploration and Analytics

One the major challenges of the Big Data era is that it has realized the availability of a great amount and variety of massive datasets for analysis by non-corporate data analysts, such as research scientists, data journalists, policy makers, SMEs and individuals. A major characteristic of these datasets is that they are: accessible in a raw format that are not being loaded or indexed in a database (e.g., plain text files, json, rdf), dynamic, dirty and heterogeneous in nature. The level of difficulty in transforming a data-curious user into someone who can access and analyze that data is even more burdensome now for numerous non-expert users. The purpose of visual data exploration is to facilitate information perception and manipulation, knowledge extraction and inference by non-expert users.

In the Big Data era, several challenges arise in the field of data visualization and analytics. First, the modern exploration and visualization systems should offer scalable data management techniques in order to efficiently handle billion objects datasets, limiting the system response in a few milliseconds. Besides, nowadays systems must address the challenge of on-the-fly scalable visualizations over large and dynamic sets of volatile raw data, offering efficient interactive exploration techniques, as well as mechanisms for information abstraction, sampling and summarization for addressing problems related to information overplotting. Further, they must encourage user comprehension offering customization capabilities to different user-defined exploration scenarios and preferences according to the analysis needs. Overall, the challenge is to enable users to gain value and insights out of the data as rapidly as possible, minimizing the role of IT-expert in the loop.

The BigVis workshop aims at addressing the above challenges and issues by providing a forum for researchers and practitioners to discuss exchange and disseminate their work. BigVis attempts to attract attention from the research areas of Data Management and Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities. In this context, BigVis invites submissions of novel research, completed or in-progress work, vision, and system papers.

Important Dates for BigVis

  • Submission: December 25th, 2017 Extended: January 5th, 2018
  • Notification: January 22nd, 2018
  • Camera-ready: January 29th, 2018

For further information, see also the homepage .

BMDA: Big Mobility Data Analytics

Nowadays, we have the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. This is mainly due to the wide spread of GPS-equipped devices, including new generation smartphones. As ubiquitous computing pervades our society, mobility represents a very useful source of information. Movement traces left behind, especially when combined with societal data, can aid transportation engineers, urban planners, and eco-scientists towards decision making in a wide spectrum of applications, such as traffic engineering and risk management. The objective of the BMDA workshop is to bring together researchers and practitioners interested in scalable data-intensive applications that manage and analyze big mobility data. The workshop will foster the exchange of new ideas on multidisciplinary real‐world problems, discussion on proposals about innovative solutions, and identify emerging opportunities for further research in the area of big mobility data analytics, covering all layers of the Big Data Value Analytics (BDVA) reference model, namely data management, data processing, data analytics, and data visualization and user interaction. BMDA intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc. Most importantly it aims to unveil real‐world problems and show off novel solutions in such domains that require innovative data analytics solutions.

Important Dates for BMDA

  • Paper Submission: December 24, 2017 **revised wrt. preliminary CFP**
  • Notification of Acceptance: January 19, 2018 **revised wrt. preliminary CFP**
  • Camera Ready Paper Due: January 29, 2018
  • Workshop date: March 26th, 2018

For further information, see also the homepage .

Data privacy statement

Data privacy statement