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supporting editorial activities at springer nature project full details

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Champion: Francesco Osborne
Senior Research Fellow Email Icon Website Icon RDF Icon
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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

01 Sep 2022

Angelo Salatino


23 Feb 2021

Enrico Motta


10 Jan 2019

Angelo Salatino


Publications

Publications | Visit External Site for Details Publications | doi 

Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2023) Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain, IEEE Access, 11, pp. 22468-22489, Institute of Electrical and Electronics Engineers (IEEE)

Publications | Visit External Site for Details Publications | doi 

Peng, C., Xia, F., Naseriparsa, M. and Osborne, F. (2023) Knowledge Graphs: Opportunities and Challenges, Artificial Intelligence Review, 56, pp. 13071-13102

Publications | Visit External Site for Details  

Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China

Publications | Visit External Site for Details  

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences, IEEE Access, pp. (In press)

Publications | Visit External Site for Details  

Chessa, A., Fenu, G., Motta, E., Recupero, D., Osborne, F., Salatino, A.A. and Secchi, L. (2022) Enriching Data Lakes with Knowledge Graphs, Knowledge Graph Generation from Text Workshop, Creete, Greece

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

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