The 6th International APWeb-WAIM Workshop on Semi-structured Big Data Management and Applications (SemiBDMA2024)
Workshop Aim and Scope
Semi-structured data arises under a variety of forms for a wide range of applications
such as genome databases, scientific databases, libraries of programs and more generally,
digital libraries, on-line documentations, electronic commerce, personalized tutoring.
With the rapid development of computer and the Internet techniques, especially the coming
of big data era, the amount of semi-structured data in the Internet is increasing sharply.
Semi-structured big data management and applications have received a lot of attention from
the research community in recent years and become the research hots of database and Web
information management, e.g., RDF4KG. Considering the features of web and big data, it is
promising to develop efficient and effective semi-structured big data management techniques
in such environments.
The sixth International APWeb-WAIM Workshop on Semi-structured Big Data Management and Applications
(SemiBDMA2024) will take place on Aug 30th-Sep 1st, 2024, Jinhua, China, in conjunction with APWeb-WAIM
which is an annual international conference on Web and Big Data. The objective of SemiBDMA2024 is to provide
a dedicated forum to bring together researchers, practitioners and others to share and exchange ideas,
practical development experiences and the latest research results on semi-structured big data management and
applications. SemiBDMA2024 will provide an excellent opportunity for the researchers from academia and industry
as well as practitioners to showcase the latest advances in this area and to discuss future research directions
and challenges on semi-structured big data management and applications.
Submission Guidelines
The workshop’s scope includes all important aspects of information technology including storage, query processing, analytics and quality of semi-structured big data, especially for applications in fields. The topics of interest for SemiBDMA include, but are not limited to:
- Semi-structured big data theory
- Semi-structured big data storage structures
- Semi-structured big data modeling
- Semi-structured big data processing platform architectures
- Semi-structured big data query processing and optimization
- Semi-structured big data indexing techniques
- Semi-structured big data analytics and mining
- Knowledge bases with semi-structured big data
- Recommendation system in semi-structured big data
- Data quality in semi-structured big data
- Blockchain system on semi-structured big data
- Probabilistic, fuzzy, and uncertain semi-structured data management
- Semi-structured big data open platforms
- Novel applications of semi-structured big data problems
- o √ digitized commerce
- o √ personalized tutoring
- o √ bioinformatics
- o √ health care
- o √ social networks
Paper Submission Guidelines:
Papers should be submitted at
https://easychair.org/conferences/?conf=semibdma2024
Papers should not exceed 12 pages single spacing in (LNCS (Lecture Notes in Computer Science) format).
The submission of papers must be in either PDF or Word format. The Authors should exclude the usage
of non-English fonts to avoid the problems from reviewers' machines. All papers accepted by SemiBDMA2024
will be published in a combined volume of Lecture Notes in Computer Science series published by Springer.
You may download formats by the following links:
LaTex2e Format:DOWNLOAD
MS Word Format:DOWNLOAD
All accepted papers MUST strictly follow the LNCS/LNAI Authors instructions.
Important Dates
Full paper Submission |
June 5th, 2024 (PST)
|
Acceptance Notification |
July 5th, 2024 (PST)
|
Camera Ready |
July 15th, 2024 (PST)
|
Organizers
-
Workshop Co-Chairs
Linlin Ding (dinglinlin@lnu.edu.cn) Liaoning University, China -
Program Committee Members
Ye Yuan (yuanye@ise.neu.edu.cn) Beihang University, China
Xiangmin Zhou (xiangmin.zhou@rmit.edu.au) RMIT University, Melbourne VIC Australia
Jianxin Li (jianxinli@swin.edu.au) Swinburne University of Technology, Melbourne, Australia
Bo Ning (ningbo@dlmu.edu.cn)Dalian Maritime University, China
Yongjiao Sun (Sunyongjiao@mail.neu.edu.cn) Northeastern University, China
Yulei Fan (fyl815@zjut.edu.cn) Zhejiang University of Technology, China
Guohui Ding (dgh_acheng@sina.com) Shenyang Aerospace University, China
Bo Lu (lubo@dlnu.edu.cn) Dalian Nationalities University, China
Xiaohuan Shan (shanxiaohuan@lnu.edu.cn) Liaoning University, China
Yuefeng Du (duyuefeng@lnu.edu.cn) Liaoning University, China
Tingting Liu (liutingting@lnu.edu.cn) Liaoning University, China
Mo Li (limo@lnu.edu.cn) Liaoning University, China