An extended piece describing the elements of the search and discovery stack, and how they work individually and in concert, encompassing search, taxonomy management and text analytics for machine aided classification of content.
seen from United Kingdom

seen from Russia

seen from Argentina
seen from United States

seen from Italy
seen from China

seen from United States

seen from United States

seen from Russia
seen from Ukraine
seen from United States

seen from T1

seen from Netherlands
seen from China
seen from United States
seen from Italy

seen from United States
seen from China
seen from United Kingdom

seen from Germany
An extended piece describing the elements of the search and discovery stack, and how they work individually and in concert, encompassing search, taxonomy management and text analytics for machine aided classification of content.
“ I have been working for some time on a National Science Foundation funded project with the American Institutes for Research to examine how machine classification working with taxonomies can be used to give greater insight into science and engineering activities, outputs and impact. An update on our project has just been published in the UK research periodical Research Fortnight, written with Evgeny Klochikin of the American Institutes of Research.”
Overview of different types of automated classification and evaluation methods
http://www.nactem.ac.uk/dtc/DTC-Sasaki.pdf
Still proof of concept, but definitely looks interesting.