Authors
Adriane Chapman, Elena Simperl, Laura Koesten, George Konstantinidis, Luis-Daniel Ibáñez, Emilia Kacprzak, Paul Groth
Publication date
2020/1
Journal
The VLDB Journal
Volume
29
Issue
1
Pages
251-272
Publisher
Springer Berlin Heidelberg
Description
Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data marketplaces, open data portals and data communities. Google recently beta-released a search service for datasets, which allows users to discover data stored in various online repositories via keyword queries. These developments foreshadow an emerging research field around dataset search or retrieval that broadly encompasses frameworks, methods and tools that help match a user data need against a collection of datasets. Here, we survey the state of the art of research and commercial systems and discuss what makes dataset search a field in its own right, with unique challenges and open questions. We look at approaches and implementations from related …
Total citations
20192020202120222023202492150566824
Scholar articles
A Chapman, E Simperl, L Koesten, G Konstantinidis… - The VLDB Journal, 2020