International Workshop on Big Web Data (BigWebData2018)
The Web Information and System Engineering conference series has established itself as the major annual event for the discussion on the novel challenges related to the efficient data storing and processing. Big data offers a lot of opportunities in terms of the increasing business value, efficiency, and productivity of the data processing platforms, but also introduces a lot of challenges that are related to the amount, heterogeneous structure, and the generating frequency of the data on the Web.
Along with the traditional problems related to the amount and frequency of new data generation, the newly-appearing challenges are related to the heterogeneous nature of data and the impact of data volumes on the value of applications using those data. From the technological perspective, the age of big data presents a variety of challenges in how to store, access, handle, stream, process, and analyze massive amounts of structured and unstructured data effectively. Using high performance computing and cloud infrastructures is essential in dealing with these issues. In the near term, the major issue with the big data oriented applications will be to find new ways to leverage the technology available today to improve the performance and scalability, reduce response time, figure out more efficient ways to deliver services to end-users, and meet the growing demand for virtualized (web and cloud) big data services.
The workshop will serve as a discussion forum on the web-scale data applications, as well as the technologies that enable scaling up the current data processing techniques to the size that is envisioned by the future Web. The workshop will look for applications with challenging requirements to processing and storing frameworks and infrastructures, as well as for the technologies addressing those requirements. Owing to our previous experience of organizing such workshops in collocation with WISE conference, we expect a successful (in terms of participation auditory and quality of presentations) event.
The workshop addresses the current and future challenges related to the development of web-scale data-centric applications. The main topics of interest for the workshop are grouped in four main tracks (web-scale application scenarios, databases and storage technologies, big data analytics integrated solutions, parallelization and scaleup techniques), as follows:
The workshop will take place during the 2018 International Conference on Web Intelligence (WI2018), Dec 3-6, 2018, Chile, as a full-day event.
Please note that for every accepted paper at least one of the authors must attend the workshop and must register for the workshop and the main conference. Submission of a paper is not required for attendance at the workshop. However, in the event that the workshop cannot accommodate all who would like to participate, those who have submitted a paper will be given priority.
July 22nd, 2018
Submission of papers
August 10th, 2018
Notification of acceptance
August 30th, 2018
Camera-ready version due
Dec 3rd, 2018
Workshop
Industry Liaison group:
You can submit a full paper (Type I, up to 10 pages) or an abstract (Type II, limit to 500 words) to the workshop.
Note for full paper submissions:
i. We are writing to you regarding the format of the workshop papers. According to the main conference requirement, all submissions to WI including workshops should be in IEEE conference proceedings format. Please guide the authors to format their paper by following the instruction at
https://www.ieee.org/conferences/publishing/templates.html
ii. Although we accept submissions in the form of PDF, PS, and DOC/RTF files, you are strongly encouraged to generate a PDF version for your paper before submitting it. It is highly recommended to use LaTeX to prepare your PDF submission.
Furthermore papers need to be submitted electronically through the WI2018 system using the following link: https://wi-lab.com/cyberchair/2018/wi18/scripts/ws_submit.php?subarea=S
The proceedings of the STeH2018 workshop will be published as part of the proceedings of WI2018 by IEEE conference proceedings series.