{
  "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/2017/10/15/two-conference-proceedings.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/10.59350/9skvt-80331",
      "url": "https://chem-bla-ics.linkedchemistry.info/2017/10/15/two-conference-proceedings.html",
      "title": "Two conference proceedings: nanopublications and Scholia",
      "content_html": "<p><img style=\"float: right;\" src=\"/assets/images/Screenshot_20171015_131507.png\" width=\"300\" alt=\"The nanopublication conference article in Scholia.\" />\nIt takes effort to move scholarly publishing forward. And the traditional publishers have not all shown to\nbe good at that: we’re still basically stuck with machine-broken channels like PDFs and ReadCubes. They seem\nto all love text mining, but only if they can do it themselves.</p>\n\n<p>Fortunately, there are plenty of people who do like to make a difference and like to innovate. I find this\nimportant, because if we do not do it, who will. Two people who make an effort are two researchers who\nrecently published their work as conference proceedings: <a href=\"http://www.tkuhn.org/\">Tobias Kuhn</a> and\n<a href=\"https://github.com/fnielsen\">Finn Nielsen</a>. And I am happy to have been able to contribute to both efforts.</p>\n\n<h2 id=\"nanopublications\">Nanopublications</h2>\n\n<p>Tobias works on <a href=\"https://web.archive.org/web/20171004200524/http://nanopub.org/wordpress/\">nanopublications <i class=\"fa-solid fa-box-archive fa-xs\"></i></a>\nwhich innovates how we make knowledge machine\nreadable. And I have stressed how important this is in my blog for years. Nanopublications describe how\nknowledge is captures, makes it FAIR, but importantly, it links the knowledge to the research that led to the\nknowledge. His <a href=\"https://doi.org/10.1007/978-3-319-68288-4_26\">recent conference proceedings</a>\ndetails how nanopublications can be used to establish incremental\nknowledge. That is, given two sets of nanopubblications, it determines which have been removed, added, and\nchanged. The paper continues outlining how that can be used to reduce, for example, download sizes and how\nit can help establish an efficient change history.</p>\n\n<h2 id=\"scholia\">Scholia</h2>\n\n<p>And Finn developed <a href=\"https://scholia.toolforge.org/\">Scholia <i class=\"fa-solid fa-recycle fa-xs\"></i></a>, an interface not unlike Web-of-Science. But\nthen based on <a href=\"http://wikidata.org/\">Wikidata</a> and therefore fully on CCZero data. And, with a community\nactively adding the full history of scholarly literature and the citations between papers, courtesy to the\n<a href=\"https://i4oc.org/\">Initiative for Open Citations</a>. This is opening up a lot of possibilities: from keeping\ntrack of articles citing your work, to get alerts of articles publishing new data on your favorite gene or\nmetabolite.</p>\n\n<h4>References</h4>\n<div class=\"csl-bib-body\">\n    <div class=\"csl-entry\">Kuhn, T., Willighagen, E., Evelo, C., Queralt-Rosinach, N., Centeno, E., &#38; Furlong, L. I. (2017). Reliable Granular References to Changing Linked Data. In <i>Lecture Notes in Computer Science</i> (pp. 436–451). Springer International Publishing. https://doi.org/10.1007/978-3-319-68288-4_26 <a href=\"https://doi.org/10.1007/978-3-319-68288-4_26\">CrossRef</a> <a href=\"https://qlever.scholia.wiki/doi/10.1007/978-3-319-68288-4_26\">Scholia</a></div>\n    <div class=\"csl-entry\">Nielsen, F. Å., Mietchen, D., &#38; Willighagen, E. (2017). Scholia and scientometrics with Wikidata. <i>arXiv</i>. https://doi.org/10.48550/ARXIV.1703.04222 <a href=\"https://doi.org/10.48550/ARXIV.1703.04222\">CrossRef</a> <a href=\"https://qlever.scholia.wiki/doi/10.48550/ARXIV.1703.04222\">Scholia</a></div>\n  </div>",
      "summary": "It takes effort to move scholarly publishing forward. And the traditional publishers have not all shown to be good at that: we’re still basically stuck with machine-broken channels like PDFs and ReadCubes. They seem to all love text mining, but only if they can do it themselves.",
      "image": "https://chem-bla-ics.linkedchemistry.info/assets/images/Screenshot_20171015_131507.png",
      "date_published": "2017-10-15T00:00:00+00:00",
      "date_modified": "2025-02-16T00:00:00+00:00",
      "tags": ["scholia","nanopub"],
      "_references": [
        
          
          
            { "url": "https://doi.org/10.48550/ARXIV.1703.04222", "doi": "10.48550/ARXIV.1703.04222"
             }
            ,
          
        
          
          
            { "url": "https://doi.org/10.1007/978-3-319-68288-4_26", "doi": "10.1007/978-3-319-68288-4_26"
             }
            
          
        ],
      
      
      
      
      
      
        "authors": [ { "name": "Egon Willighagen", "url": "https://orcid.org/0000-0001-7542-0286" } ]
      
    }

  ]
}
