In our daily work with Government data such as statistics, geographical data, etc. we often deal with Comma-Separated Values (CSV) files. Now, they are really handy as they are easy to produce and to consume: almost any language and platform I came across so far has some support for parsing CSV files and I can … Continue reading
Jan Algermissen recently compiled a very useful Classification of HTTP-based APIs. This, together with Mike Amundsen‘s interesting review of Hypermedia Types made me think about data and the Web. One important aspect of data is “on the Web vs. in the Web” as Rick Jelliffe already highlighted in 2002: To explain my POV, let me … Continue reading
Though the following might seem obvious to some of you, I thought I take the time to write some lines about the data life-cycle on the Web and try to highlight some implicit assumptions and processes. We all know the old story: data itself may not be very exciting and people actually like applications rather … Continue reading
Imagine you’re running a research group of 100 people. You want to find out the expertise of your chaps and aggregate profiles. Sure, you can perfectly sit down and browse through tons of materials you have about your people. Browse through their homepages, project pages, subversion commits, blog posts, tweets, logs from IRC, and you … Continue reading
So, we all came across 404 on the Web of Documents, right? Bernhard Haslhofer recently raised an issue at the public-lod@w3.org mailing list regarding Broken Links in LOD Data Sets, which unfortunately didn’t yield big and deep discussions. I intend to rehash the thread here, come up with a straw-man proposal and ask you for … Continue reading
