openminted project full details
OpenMinTeD
Open Mining Infrastructure for Text & Data
OpenMinted sets out to create an open, service-oriented e-Infrastructure for Text and Data Mining (TDM) of scientific and scholarly content. Researchers can collaboratively create, discover, share and re-use Knowledge from a wide range of text-based scientific related sources in a seamless way.
Pride, D. and Knoth, P. (2020). An Authoritative Approach to Citation Classification. In: ACM/IEEE Joint Conference on Digital Libraries in 2020 (JCDL ’20), 1-5 Aug 2020, Virtual - China. https://oro.open.ac.uk/70520/.
Pride, D. and Knoth, P. (2017). Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts. In: 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, 18-21 Sep 2017, Thessaloniki, Greece. https://oro.open.ac.uk/56753/.
Labropoulou, P., Galanis, D., Lempesis, A., Greenwood, M., Knoth, P., Eckart de Castilho, R., Sachtouris, S., Georgantopoulos, B., Anastasiou, L., Martziou, S., Katerina, G., Manola, N. and Piperidis, S. (2018). OpenMinTeD: A Platform Facilitating Text Mining of Scholarly Content. In: 7th International Workshop on Mining Scientific Publications, 7-12 May 2018, Miyazaki, Japan. https://oro.open.ac.uk/55790/.
Oudenhoven, M. and Pontika, N. (2017). Learning about text and data mining: The future of Open Science. Open Science Conference, Berlin, Germany. https://oro.open.ac.uk/49006/.














