{ "version": "https://jsonfeed.org/version/1.1", "title": "chem-bla-ics", "description": "Chemblaics (pronounced chem-bla-ics) is the science that uses open science and computers to solve problems in chemistry, biochemistry and related fields.", "home_page_url": "https://chem-bla-ics.linkedchemistry.info/", "feed_url": "https://chem-bla-ics.linkedchemistry.info/2020/03/19/new-paper-wikidata-as-knowledge-graph.json", "icon": "https://chem-bla-ics.linkedchemistry.info/assets/images/chem-bla-ics_logo.png", "language": "en", "authors": [ { "name": "Egon Willighagen", "url": "https://orcid.org/0000-0001-7542-0286", "_orcid": "0000-0001-7542-0286" } ], "items": [ { "id": "https://doi.org/10.59350/ee0y3-3ez74", "url": "https://chem-bla-ics.linkedchemistry.info/2020/03/19/new-paper-wikidata-as-knowledge-graph.html", "title": "new paper: "Wikidata as a knowledge graph for the life sciences"", "content_html": "

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\nA figure from the article, outlining the idea of using SPARQL queries to extract data from the open knowledge base.\n\nAs a reader of my blog, you know I have been doing quite some research where Wikidata has some role.\nI am preparing a paper on the work I have done around chemicals in Wikidata, based on what I\npresented at the ICCS with a poster.\nSo, I was delighted when Andra and Andrew asked me to contribute\nto a paper outline the importance of Wikidata to the life sciences. The paper was published in eLife,\nwhich I’m excited about to, as they do a significant amount of publishing innovation.

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I’ll keep this post brief, as I have plenty of work to do, among which is SARS-CoV-2 data in Wikidata. Join this project,\nafter you read the paper: Wikidata as a knowledge graph for the life sciences (doi:10.7554/eLife.52614,\nor in Scholia):

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I’ll write up some more queries for this eBook now: Wikidata Queries around the SARS-CoV-2 virus and pandemic.

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References

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Waagmeester, A., Stupp, G., Burgstaller-Muehlbacher, S., Good, B. M., Griffith, M., Griffith, O. L., Hanspers, K., Hermjakob, H., Hudson, T. S., Hybiske, K., Keating, S. M., Manske, M., Mayers, M., Mietchen, D., Mitraka, E., Pico, A. R., Putman, T., Riutta, A., Queralt-Rosinach, N., … Su, A. I. (2020). Wikidata as a knowledge graph for the life sciences. eLife, 9. https://doi.org/10.7554/elife.52614 CrossRef Scholia
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Willighagen, E., Slenter, D., Mietchen, D., Evelo, C., & Nielsen, F. (2018). Wikidata and Scholia as a hub linking chemical knowledge. Figshare. https://doi.org/10.6084/M9.FIGSHARE.6356027.V1 CrossRef Scholia
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", "summary": "A figure from the article, outlining the idea of using SPARQL queries to extract data from the open knowledge base. As a reader of my blog, you know I have been doing quite some research where Wikidata has some role. I am preparing a paper on the work I have done around chemicals in Wikidata, based on what I presented at the ICCS with a poster. So, I was delighted when Andra and Andrew asked me to contribute to a paper outline the importance of Wikidata to the life sciences. The paper was published in eLife, which I’m excited about to, as they do a significant amount of publishing innovation.", "image": "https://chem-bla-ics.linkedchemistry.info/assets/images/default.png", "date_published": "2020-03-19T00:00:00+00:00", "date_modified": "2020-03-19T00:00:00+00:00", "tags": ["wikidata","sparql","rdf"], "_references": [ { "url": "https://doi.org/10.7554/ELIFE.52614", "doi": "10.7554/ELIFE.52614" } , { "url": "https://doi.org/10.6084/m9.figshare.6356027.v1", "doi": "10.6084/m9.figshare.6356027.v1" } ], "authors": [ { "name": "Egon Willighagen", "url": "https://orcid.org/0000-0001-7542-0286" } ] } ] }