Invited Talk – AUGUR: Forecasting the Emergence of New Research Topics

By Angelo Salatino | • 2 minute read

On 30th Jul 2018, I have been invited from Dasha Herrmannova, former PhD student at the KMi, to give a talk at the “Machine Learning and Graph Mining for Big Scholarly Data” workshop organised for the Computational Data Analytics Group at Oak Ridge National Laboratory (ORNL).

In this talk, named “AUGUR: Forecasting the Emergence of New Research Topics“, I presented the last advances of my doctoral research, also published in a recent paper at JCDL 2018 (see here).

Slides

Here you can find the slides when I presented at JCDL 2018, as they were very similar to the ones I used for this talk.


References

Here I list some meaningful references:

  1. Salatino, Angelo A., Francesco Osborne, and Enrico Motta. “How are topics born? Understanding the research dynamics preceding the emergence of new areas.” PeerJ Computer Science3 (2017): e119. https://peerj.com/articles/cs-119/
  2. Salatino, Angelo, Francesco Osborne, and Enrico Motta. “AUGUR: Forecasting the Emergence of New Research Topics.” JCDL’18: The 18th ACM/IEEE Joint Conference on Digital Libraries. ACM, Fort Worth, TX, USA, 2018.
  3. Salatino, Angelo A., Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, and Enrico Motta. “The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas.” In ISWC 2018, Monterey, CA, USA.
  4. Osborne, F. and Motta, E.: “Klink-2: integrating multiple web sources to generate semantic topic networks.” In ISWC 2015, Bethlehem, PA, USA