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- research-articleMarch 2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation
- Jinyang Liu,
- Sheng Di,
- Kai Zhao,
- Xin Liang,
- Sian Jin,
- Zizhe Jian,
- Jiajun Huang,
- Shixun Wu,
- Zizhong Chen,
- Franck Cappello
Proceedings of the ACM on Management of Data (PACMMOD), Volume 2, Issue 1Article No.: 4, Pages 1–27https://doi.org/10.1145/3639259Error-bounded lossy compression has been identified as a promising solution for significantly reducing scientific data volumes upon users' requirements on data distortion. For the existing scientific error-bounded lossy compressors, some of them (such as ...
- posterSeptember 2023
GeoImageCut: A Toolkit for Image Cut from Geoscience Literature
ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference - China 2023Pages 96–97https://doi.org/10.1145/3603165.3607417The field of geoscience has experienced a transformative shift towards data-driven scientific discovery in the era of big data science. However, the diverse and variable nature of images obtained from scientific literature presents significant ...
- short-paperJuly 2019
Improvement of SQL Recommendation on Scientific Database
SSDBM '19: Proceedings of the 31st International Conference on Scientific and Statistical Database ManagementPages 206–209https://doi.org/10.1145/3335783.3335800Query recommendation is critical to assisting first-time users, who may not have the knowledge necessary to know how to issue effective SQL queries, especially in scientific databases. To help users learn how to issue SQL queries, we turn to ...
- research-articleNovember 2015
A SciDB-based Framework for Efficient Satellite Data Storage and Query based on Dynamic Atmospheric Event Trajectory
BigSpatial '15: Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial DataPages 7–14https://doi.org/10.1145/2835185.2835190Current research in climate informatics focuses mainly on the development of novel (machine learning, data mining, or statistical) techniques to analyze climate data (e.g. model, in-situ, or satellite) or to make prediction based on these climate data. ...
- ArticleMarch 2015
Approving Updates in Collaborative Databases
IC2E '15: Proceedings of the 2015 IEEE International Conference on Cloud EngineeringPages 42–47https://doi.org/10.1109/IC2E.2015.31Data curation activities in collaborative databases mandate that collaborators interact until they converge and agree on the content of their data. Typically, updates by a member of the collaboration are made visible to all collaborators for comments ...
- research-articleDecember 2013
GeoMix: scalable geoscientific array data management
Middleware Industry '13: Proceedings of the Industrial Track of the 13th ACM/IFIP/USENIX International Middleware ConferenceArticle No.: 1, Pages 1–6https://doi.org/10.1145/2541596.2541597Geoscientific array data, such as satellite imagery, geoscientific model, and weather prediction model data, are a significant subset of scientific array data that use geolocation information as index. The sharp growth in the availability of such data ...
- research-articleJanuary 2009
Semantic Support for Quantitative Research Processes
IEEE Intelligent Systems (IEEECS-INTELLI-NEW), Volume 24, Issue 1Pages 37–46https://doi.org/10.1109/MIS.2009.17Abstract: Collaboration in science requires a shared model of underlying workflows and concepts. In addition to leveraging information exchange between scientists, the shared model should enable automated invocation of computational (numerical) methods ...
- ArticleDecember 2008
A Grid-Based Distributed Database Solution for Large Astronomy Datasets
CSSE '08: Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 03Pages 66–69https://doi.org/10.1109/CSSE.2008.285The volume of digital astronomical data is set to expand dramatically over the next ten years, as new satellites, telescopes and instruments come online. For example, both the VISTA and DES programmes will yield databases 20-30 terabytes in size in the ...
- ArticleJuly 1998
Discrete Object Detection and Motion Registration Based on a Data Management Approach
SSDBM '98: Proceedings of the 10th International Conference on Scientific and Statistical Database ManagementPages 98–110https://doi.org/10.1109/SSDM.1998.688115When scientific data sets can be interpreted visually they are typically managed as pictures and consequently stored as large collections of bitmaps. Valuable information contained in images is often not exploited, however, simply because the data is ...
