The 7th International APWeb-WAIM Workshop on Semi-structured Big Data Management and Applications (SemiBDMA2025)

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 Seventh International APWeb-WAIM Workshop on Semi-structured Big Data Management and Applications (SemiBDMA2025) will take place on August 28th-30th, 2025, Shenyang, China, in conjunction with APWeb-WAIM which is an annual international conference on Web and Big Data. The objective of SemiBDMA2025 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. SemiBDMA2025 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=semibdma2025

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

*All deadlines are 23:59 Anywhere on Pacific time.

Organizers

• Workshop Chair
  Linlin Ding (dinglinlin@lnu.edu.cn) Liaoning University, China
• Program Committee Members
  Ye Yuan (yuan-ye@bit.edu.cn) Beijing Institute of Technology, 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