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supporting editorial activities at springer nature project full details

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Champion: Francesco Osborne
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Participant(s):Enrico Motta, Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci

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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

10 Jan 2019

Angelo Salatino


Publications

Publications | Visit External Site for Details  

Dessi', D., Osborne, F., Recupero, D., Buscaldi, D., Motta, E. and Sack, H. (2020) AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence, International Semantic Web Conference 2020, Online

Publications | Visit External Site for Details  

Salatino, A.A., Osborne, F. and Motta, E. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano (Italy) (Online)

Publications | Visit External Site for Details  

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F. and Motta, E. (2020) The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas, Data Intelligence, 2, 2, pp. 379"416

Publications | Visit External Site for Details  

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France

Publications | Visit External Site for Details  

Salatino, A.A., Osborne, F. and Motta, E. (2020) Ontology Extraction and Usage in the Scholarly Knowledge Domain Applications and Practices in Ontology Design, Extraction, and Reasoning, eds. Giuseppe Cota,Marilena Daquino,Gian Luca Pozzato, IOS Press

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