supporting editorial activities at springer nature project full details
Champion:
Francesco Osborne
Senior Research Fellow
Participant(s):Enrico Motta, Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci
Timeline:01 May 2018 - 31 Jan 2021
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Supporting Editorial Activities at Springer Nature
Supporting Editorial Activities at Springer Nature
The project aims at fostering Springer Nature editorial activities by supporting them with a variety of smart solutions leveraging artificial intelligence, data mining, and semantic technologies. In particular, the KMi team will support Springer Nature editorial team in classifying proceedings and other editorial products, taking informed decisions about their marketing strategy, and improve their internal classification.
The main objectives of the project are:
- Producing several analytics solutions for the analysis of big scholarly data.
- Automatically generating a large-scale ontology describing research topics in the field of Engineering.
- Enhancing the Smart Topics Miner, a tool developed to support the Springer Nature editorial team in classifying proceedings.
- Releasing the Computer Science Ontology, the largest ontology of research areas in the field of Computer Science, which currently includes about 15K topics and 70K semantic relationships.
News
01 Sep 2022
KMi News
23 Feb 2021
KMi News
10 Jan 2019
KMi News
Naja, I., Divin, N., Coward, S., Campbell, S., Benatti, F. and Antonini, A. (2024). Conversational Media for Inclusive Access to Mental Health Interventions for Schoolchildren. In: Proceedings of the 35th ACM Conference on Hypertext and Social Media (HT '24), 10-13 Sep 2024, Poznań, Poland. https://oro.open.ac.uk/98975/.
