I am very pleased to announce that the above paper has been published in Springer's Data Mining and Knowledge Discovery journal. It presents a novel approach to analysing provenance information, combining provenance network metrics and machine learning; the main aim currently is to label data from analysing their provenance.
After showing the TextMate PROV-N bundle to my colleagues, one pointed to me the powerful Ace code editor, which comes with tools to facilitate adding a new syntax. I found it even easier to work with compared to TextMate's bundle editor. After a day, I managed to port the PROV-N …
The Provenance Notation (PROV-N) has been my
chosen representation when it comes to writing provenance. It has a relatively
low cognitive cost and easier for humans to read (at least to me), compared to
other provenance representations. Even so, I usually found myself making mundane
mistakes and typos and have …