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.

Angelo Salatino

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Angioni, S., Osborne, F., Salatino, A.A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Salatino, A.A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway

Mannocci, A., Osborne, F. and Motta, E. (2019) Geographical trends in academic conferences: An analysis of authors' affiliations, Data Science Special Issue about Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination, pp. (Early Access), IOS Press