Google Dataset Search by the Numbers
June 12, 2020 Β· Declared Dead Β· π International Workshop on the Semantic Web
"No code URL or promise found in abstract"
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Authors
Omar Benjelloun, Shiyu Chen, Natasha Noy
arXiv ID
2006.06894
Category
cs.IR: Information Retrieval
Cross-listed
cs.DB
Citations
73
Venue
International Workshop on the Semantic Web
Last Checked
3 months ago
Abstract
Scientists, governments, and companies increasingly publish datasets on the Web. Google's Dataset Search extracts dataset metadata -- expressed using schema.org and similar vocabularies -- from Web pages in order to make datasets discoverable. Since we started the work on Dataset Search in 2016, the number of datasets described in schema.org has grown from about 500K to almost 30M. Thus, this corpus has become a valuable snapshot of data on the Web. To the best of our knowledge, this corpus is the largest and most diverse of its kind. We analyze this corpus and discuss where the datasets originate from, what topics they cover, which form they take, and what people searching for datasets are interested in. Based on this analysis, we identify gaps and possible future work to help make data more discoverable.
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