With my move to a new institution, the ProvStore at
Southampton is no longer maintained.
In the recent months, we have been gradually migrating the PROV services to a
new home at openprovenance.org, hosted by King's
College London.
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.
I am pleased to announce that, after over a year since Prov Python 1.4.0, a new version of PROV Python library, version 1.5.0, is now available from PyPI. Thanks to the significant contribution by Satrajit Ghosh, the library now supports RDF output and input (following the …
Documentation is hard work! I started the work on the PROV Python package nearly three years ago and yet its documentation is still quite lacking. As a small effort to make up for it, I thought a simple tutorial might help a bit.
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 …