Results 11 to 20 of about 28,374,038 (313)
Metam: Goal-Oriented Data Discovery [PDF]
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2023 ICDE 2023 ...
Galhotra, Sainyam +2 more
openaire +3 more sources
Data Science Journal, 2013 Discovery of documents, data sources, facts, and opinions is at the very heart of digital information and knowledge services. Being able to search, discover, compile, and analyse relevant information for a user’s specific tasks is of utmost importance in science (e.g., computational life sciences, digital humanities, etc.), business (e.g., market and ...
G. Weikum
openaire +4 more sources
Beacon v2 and Beacon networks: A "lingua franca" for federated data discovery in biomedical genomics, and beyond. [PDF]
Hum Mutat, 2022 Beacon is a basic data discovery protocol issued by the Global Alliance for Genomics and Health (GA4GH). The main goal addressed by version 1 of the Beacon protocol was to test the feasibility of broadly sharing human genomic data, through providing ...
Rambla J +14 more
europepmc +2 more sources
ISPRS International Journal of Geo-Information, 2016 Big geospatial data are archived and made available through online web discovery and access. However, finding the right data for scientific research and application development is still a challenge. This paper aims to improve the data discovery by mining
Yongyao Jiang +5 more
doaj +2 more sources
A dataset describing data discovery and reuse practices in research. [PDF]
Sci Data, 2020 This paper presents a dataset produced from the largest known survey examining how researchers and support professionals discover, make sense of and reuse secondary research data.
Gregory K.
europepmc +2 more sources
CHORUS: Foundation Models for Unified Data Discovery and Exploration [PDF]
Proceedings of the VLDB Endowment, 2023 We apply foundation models to data discovery and exploration tasks. Foundation models are large language models (LLMS) that show promising performance on a range of diverse tasks unrelated to their training.
Moe Kayali +5 more
semanticscholar +1 more source
Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach [PDF]
Proc. ACM Manag. Data, 2023 Most deployed data discovery systems, such as Google Datasets, and open data portals only support keyword search. Keyword search is geared towards general audiences but limits the types of queries the systems can answer. We propose a new system that lets
Qiming Wang, Raul Castro Fernandez
semanticscholar +1 more source
LakeBench: Benchmarks for Data Discovery over Data Lakes [PDF]
arXiv.org, 2023 Within enterprises, there is a growing need to intelligently navigate data lakes, specifically focusing on data discovery. Of particular importance to enterprises is the ability to find related tables in data repositories.
Kavitha Srinivas +8 more
semanticscholar +1 more source
Cross Modal Data Discovery over Structured and Unstructured Data Lakes [PDF]
Proceedings of the VLDB Endowment, 2023 Organizations are collecting increasingly large amounts of data for data-driven decision making. These data are often dumped into a centralized repository, e.g., a data lake, consisting of thousands of structured and unstructured datasets.
M. Eltabakh +3 more
semanticscholar +1 more source
The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. [PDF]
Neuron, 2014 Calhoun VD +3 more
europepmc +2 more sources