{
  "id": 223184,
  "title": "InChI and Images on Wikidata ",
  "url": "/competitions/bms-molecular-translation/discussion/223184",
  "author_name": "Alexander Chervov",
  "post_date": "2021-03-02T20:09:42.733000",
  "votes": 22,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Just a remark.<br>\nIt might be helpful for understanding the task or may be for extending the train set.</p>\n<p>Wikidata (knowledge graph behind wikipedia infoboxes) contains many chemical compounds<br>\nand their InChi. For example: <br>\n<a href=\"https://www.wikidata.org/wiki/Q27075960\" target=\"_blank\">https://www.wikidata.org/wiki/Q27075960</a> </p>\n<p>Wikidata can be queried by SPARQL queries: <br>\nThere seems to be about 12K such compound+image:<br>\n<a href=\"https://w.wiki/33X8\" target=\"_blank\">https://w.wiki/33X8</a><br>\nwith total more than million compounds:<br>\n<a href=\"https://w.wiki/33X2\" target=\"_blank\">https://w.wiki/33X2</a></p>\n<p>PS</p>\n<p>Just yesterday we discussed wikidata on our activity around course on knowledge graphs,<br>\nso would happy if the remark above would be helpful for someone - would be unexpected nice outcome from some learning actitvity. <br>\nSo if you are Russian speaking the lecture is here: <a href=\"https://www.youtube.com/watch?v=jOvProRbG0Q&amp;t=3827s\" target=\"_blank\">https://www.youtube.com/watch?v=jOvProRbG0Q&amp;t=3827s</a><br>\nAlso you can join our Telegram chat group  around that knowledge graphs course : <br>\n<a href=\"https://t.me/kg_course\" target=\"_blank\">https://t.me/kg_course</a> (again Russian speaking , sorry).</p>",
  "messages": [
    {
      "id": 1224532,
      "postDate": "2021-03-02T20:09:42.733Z",
      "content": "<p>Just a remark.<br>\nIt might be helpful for understanding the task or may be for extending the train set.</p>\n<p>Wikidata (knowledge graph behind wikipedia infoboxes) contains many chemical compounds<br>\nand their InChi. For example: <br>\n<a href=\"https://www.wikidata.org/wiki/Q27075960\" target=\"_blank\">https://www.wikidata.org/wiki/Q27075960</a> </p>\n<p>Wikidata can be queried by SPARQL queries: <br>\nThere seems to be about 12K such compound+image:<br>\n<a href=\"https://w.wiki/33X8\" target=\"_blank\">https://w.wiki/33X8</a><br>\nwith total more than million compounds:<br>\n<a href=\"https://w.wiki/33X2\" target=\"_blank\">https://w.wiki/33X2</a></p>\n<p>PS</p>\n<p>Just yesterday we discussed wikidata on our activity around course on knowledge graphs,<br>\nso would happy if the remark above would be helpful for someone - would be unexpected nice outcome from some learning actitvity. <br>\nSo if you are Russian speaking the lecture is here: <a href=\"https://www.youtube.com/watch?v=jOvProRbG0Q&amp;t=3827s\" target=\"_blank\">https://www.youtube.com/watch?v=jOvProRbG0Q&amp;t=3827s</a><br>\nAlso you can join our Telegram chat group  around that knowledge graphs course : <br>\n<a href=\"https://t.me/kg_course\" target=\"_blank\">https://t.me/kg_course</a> (again Russian speaking , sorry).</p>",
      "rawMarkdown": "Just a remark.\nIt might be helpful for understanding the task or may be for extending the train set.\n\nWikidata (knowledge graph behind wikipedia infoboxes) contains many chemical compounds\nand their InChi. For example: \nhttps://www.wikidata.org/wiki/Q27075960 \n\nWikidata can be queried by SPARQL queries: \nThere seems to be about 12K such compound+image:\nhttps://w.wiki/33X8\nwith total more than million compounds:\nhttps://w.wiki/33X2\n\nPS\n\nJust yesterday we discussed wikidata on our activity around course on knowledge graphs,\nso would happy if the remark above would be helpful for someone - would be unexpected nice outcome from some learning actitvity. \nSo if you are Russian speaking the lecture is here: https://www.youtube.com/watch?v=jOvProRbG0Q&t=3827s\nAlso you can join our Telegram chat group  around that knowledge graphs course : \nhttps://t.me/kg_course (again Russian speaking , sorry).\n\n",
      "votes": 21
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1224532": "Just a remark.\nIt might be helpful for understanding the task or may be for extending the train set.\n\nWikidata (knowledge graph behind wikipedia infoboxes) contains many chemical compounds\nand their InChi. For example: \nhttps://www.wikidata.org/wiki/Q27075960 \n\nWikidata can be queried by SPARQL queries: \nThere seems to be about 12K such compound+image:\nhttps://w.wiki/33X8\nwith total more than million compounds:\nhttps://w.wiki/33X2\n\nPS\n\nJust yesterday we discussed wikidata on our activity around course on knowledge graphs,\nso would happy if the remark above would be helpful for someone - would be unexpected nice outcome from some learning actitvity. \nSo if you are Russian speaking the lecture is here: https://www.youtube.com/watch?v=jOvProRbG0Q&t=3827s\nAlso you can join our Telegram chat group  around that knowledge graphs course : \nhttps://t.me/kg_course (again Russian speaking , sorry).\n\n"
  }
}