- From: Nikos Bikakis <bikakis.nikos@gmail.com>
- Date: Wed, 11 Jan 2023 17:10:01 +0200
- To: undisclosed-recipients: ;
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 ------------------------------------ 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 ------------------------------------ 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 ------------------------------------ Submission: January 23, 2023 (AoE) Notification: February 18, 2023 Camera-ready: February 25, 2023 Workshop: March 28, 2023 Special Issue ------------------------------------ TBD Organizing Committee ------------------------------------ Nikos Bikakis, HMU & ATHENA Reacher Center, Greece Issei Fujishiro, Keio University, Japan Steffen Frey University of Stuttgart, Germany George Papastefanatos, ATHENA Reacher Center, Greece Shixia Liu, Tsinghua University, China Program Committee ------------------------------------ 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 Li Jie, Tianjin University, China Eser Kandogan, Megagon Labs James Klosowski, AT&T Labs Research Manolis Koubarakis, National and Kapodistrian University of Athens, Greece 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 -- _ nikos bikakis
Received on Wednesday, 11 January 2023 15:10:21 UTC