The fifth International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA2023)

Brief description about the workshop, including a list of topics

In conjunction with the 5th International Conference on Web-Age Information Management (APWeb-WAIM 2023), Oct 6-8, 2023, Wuhan, China.

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 fifth International APWeb-WAIM Workshop on Semi-structured Big Data Management and Applications (SemiBDMA2023) will take place on Oct 6-8, 2023, Wuhan, China, in conjunction with APWeb-WAIM which is an annual international conference on Web and Big Data. The objective of SemiBDMA 2023 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. SemiBDMA 2023 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. 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
  • Probabilistic, fuzzy, and uncertain semi-structured data management
  • Semi-structured big data open platforms
  • Novel applications of semi-structured big data problems

              digitized commerce

              personalized tutoring

              bioinformatics

              health care

              social networks

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 SemiBDMA 2023 will be published in a combined volume of Lecture Notes in Computer Science series published by Springer.

Paper Submission Guidelines

Papers should be submitted at https://easychair.org/conferences/?conf=semibdma2023

Important date

  • Abstract registration deadline: Aug 14, 2023 (PST)
  • Submission deadline: Aug 21, 2023 (PST)
  • Acceptance Notification: Aug 31, 2023

Names and contact information for the organizer(s)

Baoyan Song: Liaoning University, China   bysong@lnu.edu.cn

Xiaoguang Li: Liaoning University, China   xgli@lnu.edu.cn

Linlin Ding: Liaoning University, China   dinglinlin@lnu.edu.cn

Yuefeng Du: Liaoning University, China   duyuefeng@lnu.edu.cn

 

Proposed duration of the workshop (half day or full day)

Half day.

Potential PC members for the workshop

Ye Yuan (yuanye@ise.neu.edu.cn) Northeastern 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

Linlin Ding (dinglinlin@lnu.edu.cn) Liaoning University, China

Xiaohuan Shan (shanxiaohuan@lnu.edu.cn) Liaoning University, China

Yuefeng Du (duyuefeng@lnu.edu.cn) Liaoning University, China

Tingting Liu (549715624@qq.com) Liaoning University, China

Expected number of attendees

50

Brief biography of the organizer(s)

Baoyan Song received her B.Sc., M.Sc. and Ph.D. degrees in Computer Science from the Northeastern University, Shenyang, China, in 1988, 1996 and 2002 respectively. She is currently a Full Professor in the School of Information, Liaoning University P.R.China. Her research interests include big data management, data stream management and graph data management etc. She has published more than 100 research papers in the international conference proceedings and journals.

Xiaoguang Li received his Ph.D. degrees in Computer Science from the Northeastern University, Shenyang, China, in 2006. He is currently a Full Professor in the School of Information, Liaoning University P.R.China. His research interests include big data management, data mining and recommendation system etc. He has published more than 100 research papers in the international conference proceedings and journals.

Linlin Ding received her M.Sc. and Ph.D. degrees in computer science and technology from the Northeastern University, Shenyang, P.R.China, in July 2008 and 2013 respectively. She is currently an Associate Professor in School of Information, Liaoning University, Shenyang, P.R.China. Her research interests include big data management, uncertain data management, high-dimensional data and distributed data management etc. She has published more than 20 research papers in the international conference proceedings and journals.