Many university and national libraries are exploring the best way to support researchers with text and data mining. That’s why on July 5th 2017, OpenMinTeD and FutureTDM organised a workshop about text and data mining at the LIBER conference in Patras. 4 different speakers guided 16 participants through the various aspects of TDM.
Posts Tagged ‘TDM’
Tom Potok works at the Oak Ridge National Laboratory in Tenessee. He has been in the field of text and data mining for twenty years and worked on a wide variety of things. Some of the biggest challenges are the amounts of information out there, and trying to figure out how the mind works with text.
Benj Pettit works at Mendeley and works on text and data mining tools that help researchers to find new articles, collaborators etc. One of the special things about the Mendeley catalogue is that it is formed in a crowdsourced way.
Last April 26-27 the BioCreative V.5 Challenge Evaluation Workshop took place in Barcelona. The goal of BioCreative V.5 was to address some of the major barriers to the adoption and use of text mining tools, related to assessment, accessibility, interoperability, robustness and integration.
Mads Rydahl has a small start-up that applies machine learning to scientific publishing. Thanks to their deep partnership with Springer Nature, they can build value added services inside their platform.
25 years ago, when Laurents Sesink was still a history student, his thesis on political internal relations included a lot of reading and tally marks. Back then he already thought “There must be a better way to do this”, so he built a database and started to get into informatics and digitisation. Now he is the head of the Centre for Digital Scholarship at the library of Leiden University.