A few months ago I wrote a tutorial on transforming tabular data into linked data using OpenRefine with an RDF plugin. For users that like interfaces I would recommend that method but, if you are comfortable with SPARQL queries, here is a more query based approach. I have chosen a more simple dataset for this tutorial that you can download from Kaggle here. The final transformed dataset can be dow
On October 24th, 2018, I gave a half-hour online presentation as part of a virtual conference from NISO called That Cutting Edge: Technology’s Impact on Scholarly Research Processes in the Library. My presentation was called: And here is the script and the slides that I presented: Good afternoon. Thank you for the opportunity to introduce you to OpenRefine. Even if you have already heard of OpenRe
refine.codefork.com This server provides OpenRefine reconciliation services for the following data sources: VIAF - Virtual International Authority File ORCID - digital identifiers for researchers Open Library - an open, editable library catalog (a project of the Internet Archive) more to come... You can use these services to resolve many types of names (i.e. persons, organizations, geographic regi
toolforge.org redirects here. You might be looking for the Lists of Toolforge tools. Toolforge is a free cloud hosting platform for Wikimedia contributors. It provides web servers, data access, job management, and other features to help developers maintain tools and bots. Toolforge is part of the Wikimedia Cloud Services (WMCS) suite of services. It is supported by Wikimedia Foundation staff and v
Issue 30, 2015-10-15 Data Munging Tools in Preparation for RDF: Catmandu and LODRefine Data munging, or the work of remediating, enhancing and transforming library datasets for new or improved uses, has become more important and staff-inclusive in many library technology discussions and projects. Many times we know how we want our data to look, as well as how we want our data to act in discovery i
OUseful.Info, the blog… Trying to find useful things to do with emerging technologies in open education and data journalism. Snarky and sweary to anyone who emails to offer me content for the site. It’s an often encountered situation, but one that can be a pain to address – merging data from two sources around a common column. Here’s a way of doing it in Google Refine… Here are a couple of example
Open Refineは、さまざまなデータをきれいに整形したり、欲しい形のものに変換したり、簡単な解析を行ったりすることができるソフトで、表計算ソフトExcelにはないさまざまな機能を持っています。 元はGoogleのコンテンツで、Google Refineという名前で知られていましたが、2012年10月にオープンソース化され、Open Refineに改称されました。2012年2月現在、Google RefineからOpen Refineへの過渡期にあり、多くの情報はまだGoogle Refineのままとなっています。 この動画では、Open Refineの導入方法を説明した後、BioMartから取得したCSV形式のヒトの遺伝子の一覧のデータ(一部改変)を用いて、文字データの表記ゆれの統一や、数値データの大小の並び替え、指定した範囲に含まれるデータの抽出、列同士の演算の方法を紹介します
Build over time, the RefinePro knowledge base list tutorials, how to and tips for OpenRefine (formerly Google Refine) This is the RefinePro knowledge base about OpenRefine. We build it over the years, and keep adding to it. From great tutorials and how-to, to handy GREL expressions and links to external resources, you will find here one of the most comprehensive list of resources to learn OpenRefi
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