Characterising dataset search – an analysis of search logs and data requests
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54812610
- Type
- D - Journal article
- DOI
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10.1016/j.websem.2018.11.003
- Title of journal
- Journal of Web Semantics
- Article number
- -
- First page
- 37
- Volume
- 55
- Issue
- -
- ISSN
- 1570-8268
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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5
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Results of this paper influenced the decision to recommend spatial and temporal properties in the latest version of DCAT-AP vocabulary (recommendation by W3C and EU for describing metadata of public sector datasets [1,2])
[1] https://github.com/SEMICeu/DCAT-AP/issues/9
[2] https://github.com/SEMICeu/DCAT-AP/issues/64
This work influenced follow-up research by other teams on generating dataset snippets to explain users relevance of returned datasets [3], including the use of data requests dataset described in this paper for snippet evaluation [4]
[3] https://doi.org/10.1145/3357384.3358096
[4] https://link.springer.com/chapter/10.1007/978-3-030-30793-6_39
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -