Dataset search: a survey

@article{Chapman2019DatasetSA,
  title={Dataset search: a survey},
  author={Adriane P. Chapman and Elena Paslaru Bontas Simperl and Laura Koesten and George Konstantinidis and Luis-Daniel Ib{\'a}{\~n}ez and Emilia Kacprzak and Paul Groth},
  journal={The VLDB Journal},
  year={2019},
  volume={29},
  pages={251 - 272}
}
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… CONTINUE READING
23
Twitter Mentions

Citations

Publications citing this paper.
SHOWING 1-10 OF 10 CITATIONS

AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation

  • Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang
  • Computer Science
  • 2019 IEEE International Conference on Data Mining (ICDM)
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

Dataset Recommendation via Variational Graph Autoencoder

References

Publications referenced by this paper.
SHOWING 1-10 OF 189 REFERENCES

Enabling Spatio-Temporal Search in Open Data

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Ad Hoc Table Retrieval using Semantic Similarity

VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Data catalog vocabulary (dcat)

  • F. Maali, J. Erickson, P. Archer
  • W3C Recommendation, vol. 16
  • 2014
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

On-the-fly Table Generation

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Sdmx glossary

  • SDMX
  • Technical Report, SDMX Statistical Working Group
  • 2018
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL