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. 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 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 include, but are not limited to the following:
- 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
All paper submissions for SemiBDMA 2026 will be via Microsoft CMT (under the 8th International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA 2026)).
All submissions must be written in English and conform to the Springer LNCS proceedings format with the following page limits: 12 pages including references. Authors must provide the complete and final list of authors at the submission stage. No addition, removal, or change in the order of authors is allowed after submission.
Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
Linlin Ding
Liaoning University, China
Email: [email protected]