A crowdsourcing web system for curating empirical knowledge in linked open data
Pages 441 - 444
Abstract
Traditional and Empirical knowledge databases are becoming essential for the preservation of a region's culture. Without proper curation this knowledge might be lost over time. The goal of this work is to present a web system to support the co-curation of data derived from empirical knowledge. Our proposal also provides the interconnection between visitors' contributions with data already available in Linked Open Data repositories. The web system was evaluated by specialists from the Rio de Janeiro Botanical Garden, who verified the impact of the system implantation in cultural environments related to medicinal plants.
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Index Terms
- A crowdsourcing web system for curating empirical knowledge in linked open data
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October 2019
537 pages
ISBN:9781450367639
DOI:10.1145/3323503
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Published: 29 October 2019
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WebMedia '19
WebMedia '19: Brazilian Symposium on Multimedia and the Web
October 29 - November 1, 2019
Rio de Janeiro, Brazil
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