- From: Nikos Bikakis <bikakis.nikos@gmail.com>
- Date: Mon, 30 Jan 2023 13:23:58 +0200
- To: undisclosed-recipients: ;
*** SUMBISSION DEALINE EXTESNION: February 5, 2023 (AoE) ***
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Call for Papers
BigVis 2023: 6th International Workshop on Big Data Visual Exploration and Analytics
https://bigvis.imsi.athenarc.gr/bigvis2023
March 28 2023, Ioannina, GR
Held in conjunction with the 26th Intl. Conference on Extending Database Technology & 26th Intl. Conference on Database Theory (EDBT/ICDT 2023)
Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data
era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-curious user into someone who can access and analyze that data is even
more burdensome now for a great number of users with little or no support and expertise on the data processing part. Thus, the area of data visualization, visual exploration and analysis has gained
great attention recently, calling for joint action from different research areas from the HCI, Computer graphics and Data management and mining communities.
In this respect, several traditional problems from these communities such as efficient data storage, querying & indexing for enabling visual analytics, new ways for visual presentation of massive
data, efficient interaction and personalization techniques that can fit to different user needs are revisited. The modern exploration and visualization systems should nowadays offer scalable
techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms for information abstraction, sampling and summarization for
addressing problems related to visual information over-plotting. 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 offer self-service visual analytics, i.e. enable data scientists and business analysts to visually 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 & Mining, Information Visualization and Human-Computer Interaction and highlight novel works that bridge together these communities.
Workshop Topics
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In the context of visual exploration and analytics, topics of interest include, but are not limited to:
- Visualization, exploration & analytics techniques for various data types; e.g., stream, spatial, graph
- Human -in -the -loop processing
- Human -centered databases
- Data modeling, storage, indexing, caching, prefetching & query processing for interactive applications
- Interactive & human -centered machine learning
- Interactive data mining
- User -oriented visualization; e.g., recommendation, assistance, personalization
- Visualization & knowledge; e.g., storytelling
- Progressive analytics
- In -situ visual exploration & analytics
- Novel interface & interaction paradigms
- Visual representation techniques; e.g., aggregation, sampling, multi -level, filtering
- Scalable visual operations; e.g., zooming, panning, linking, brushing
- Scientific visualization; e.g., volume visualization
- Analytics in the fields of scholarly data, digital libraries, multimedia, scientific data, social data, etc.
- Immersive visualization
- Interactive computer graphics
- Setting -oriented visualization; e.g., display resolution/size, smart phones, visualization over networks
- High performance, distributed & parallel techniques
- Visualization hardware & acceleration techniques
- Linked Data & ontologies visualization
- Benchmarks for data visualization & analytics
- Case & user studies
- Systems & tools
Submissions
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Regular/Short Research papers [up to 8/4 pages]
Work-in-progress papers [up to 4 pages]
Vision papers [up to 4 pages]
System papers and Demos [up to 4 pages]
Important Dates
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Submission: January 23, 2023 (AoE) => February 5, 2023 (AoE) [Extended]
Notification: February 18, 2023
Camera-ready: February 25, 2023
Workshop: March 28, 2023
Special Issue
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TBD
Organizing Committee
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Nikos Bikakis, HMU & ATHENA Reacher Center, Greece
Issei Fujishiro, Keio University, Japan
Steffen Frey, University of Groningen, Netherlands
George Papastefanatos, ATHENA Reacher Center, Greece
Shixia Liu, Tsinghua University, China
Program Committee
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James Abello, Rutgers University, USA
Gennady Andrienko, Fraunhofer, Germany
Natalia Andrienko, Fraunhofer, Germany
Marco Angelini, Sapienza University of Rome, Italy
Michael Behrisch, Utrecht University, Netherlands
Jürgen Bernard, University of Zurich, Switzerland
Jacob Biehl, University of Pittsburgh, USA
Yiru Chen, Columbia University, USA
Eva Chondrodima, University of Piraeus, Greece
Panos Chrysanthis, University of Pittsburgh, USA
Daniel Deutch, Tel Aviv University, Israel
Katerina Doka, National Technical University of Athens, Greece
Mennatallah El-Assady, University of Konstanz, Germany
Jean-Daniel Fekete, INRIA, France
Irini Fundulaki, ICS-FORTH, Greece
Christoph Garth, Technische Universität Kaiserslautern, Germany
Parke Godfrey, York University, USA
Herodotos Herodotou, Cyprus University of Technology, Cyprus
Ekaterini Ioannou, University of Tilburg, Netherlands
Stefan Jänicke, Leipzig University, Germany
Eser Kandogan, Megagon Labs
James Klosowski, AT&T Labs Research
Manolis Koubarakis, National and Kapodistrian University of Athens, Greece
Jie Li, Tianjin University, China
Stavros Maroulis, National Technical University of Athens, Greece
Suvodeep Mazumdar, The University of Sheffield, United Kingdom
Silvia Miksch, Vienna University of Technology, Austria
Davide Mottin, Aarhus University, Denmark
Evaggelia Pitoura, University of Ioannina, Greece
Laura Po, Unimore, Italy
Giuseppe Polese, University of Salerno, Italy
Kristin Potter, NREL, USA
Sajjadur Rahman, Megagon Labs
Alexander Rind, St. Pölten University of Applied Sciences, Austria
Panagiotis Ritsos, Bangor University, United Kingdom
Maria Riveiro, Jönköping University, Sweden
Hans-Jörg Schulz, Aarhus University, Denmark
Michael Sedlmair, University of Stuttgart, Germany
Tarique Siddiqui, Microsoft Research
Dimitrios Skoutas, Athena Research Center, Creece
Kavitha Srinivas, IBM
Arjun Srinivasan, Georgia Institute of Technology, USA
Manuel Stein, University Konstanz, Germany
Christian Tominski, University of Rostock, Germany
Natkamon Tovanich, École Polytechnique, France
Katerina Tzompanaki, CY Cergy Paris University, France
Katerina Vrotsou, Linköping University, Sweden
Sean Wang, Fudan University, China
Junpeng Wang, Visa Research
Jules Wulms, Vienna University of Technology, Austria
Jiazhi Xia, Central South University, China
Panpan Xu, Bosch Research
Hongfeng Yu, University of Nebraska-Lincoln, USA
Demetris Zeinalipour, University of Cyprus, Cyprus
Dimitris Zissis, Marine Traffic
--
Nikos Bikakis
Information Management Systems Institute
ATHENA Research Center
Athens | Greece
www.nbikakis.com
Received on Monday, 30 January 2023 11:24:03 UTC