smart topic miner technology full details
Champion:
Francesco Osborne
Senior Research Fellow
Participant(s):Enrico Motta, Angelo Salatino
Similar Technologies:Rexplore
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Smart Topic Miner
Classifying scholarly publications according to an ontology of research areas
The Smart Topic Miner (STM) is a novel application, developed in collaboration with Springer Nature, which classifies scholarly publications according to an automatically generated ontology of research areas. STM analyses in real-time a collection of publications and returns a description of the given corpus in terms of a taxonomy of research topics drawn from a large scholarly ontology and a set of Springer Nature Classification tags. This information is used for a variety of tasks such as: i) classifying proceedings in digital and physical libraries; ii) enhancing semantically the metadata associated with publications and consequently improving the discoverability of the proceedings in both the Springer digital library, SpringerLink, as well as third-party sites such as Amazon.com; iii) deciding where and when to market a specific book; and iv) detecting novel and promising research areas that may deserve more attention from the publisher.
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- Springer Nature
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30 Sep 2026
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Thanapalasingam, T., Osborne, F., Birukou, A. and Motta, E. (2018). Ontology-Based Recommendation of Editorial Products. In: International Semantic Web Conference (ISWC) 2018, 8-12 Oct 2018, Monterey, California, United States. https://oro.open.ac.uk/55516/.
Daga, E., d'Aquin, M. and Motta, E. (2017). Propagating Data Policies: a User Study. In: Knowledge Capture (K-Cap 2017), 4-6 Dec 2017, Austin, Texas, USA. https://oro.open.ac.uk/52707/.
Moore, J., Kortuem, G., Smith, A., Chowdhury, N., Cavero, J. and Gooch, D. (2016). DevOps for the Urban IoT. In: 2nd EAI International Conference on IoT in Urban Space (Urb-IoT '16), 24-25 May 2016, Tokyo. https://oro.open.ac.uk/47701/.
Wolff, A., Gooch, D., Cavero Montaner, J.J., Rashid, U. and Kortuem, G. (2016). Creating an Understanding of Data Literacy for a Data-driven Society. Journal of Community Informatics, 12(3), pp. 9–26. https://oro.open.ac.uk/47779/.
Allocca, C., Adamou, A., d'Aquin, M. and Motta, E. (2016). SPARQL Query Recommendations by Example. In: 13th ESWC 2016, 29 May - 2 Jun 2016, Crete, Greece. https://oro.open.ac.uk/46757/.
Adamou, A. and d'Aquin, M. (2015). On requirements for federated data integration as a compilation process. In: 2nd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES '15), 31 May - 02 Jun 2015, Portorož, Slovenia. https://oro.open.ac.uk/42053/.
Cook, M., Potter, S., Langendahl, P.A., Roby, H., Collins, T. and Taylor, D. (2015). Exploring the role of intermediaries in smart grid developments. In: Sustainable Innovation 2015, 9-10 Nov 2015, Epsom, Surrey. https://oro.open.ac.uk/44826/.
Wolff, A., Gooch, D., Mir, U., Cavero, J. and Kortuem, G. (2015). Removing barriers for citizen participation to urban innovation. In: Digital Cities 9, 27 Jun 2015, Limerick. https://oro.open.ac.uk/43854/.
d'Aquin, M., Adamou, A., Daga, E., Liu, S., Thomas, K. and Motta, E. (2014). Dealing with diversity in a smart-city datahub. In: Fifth Workshop on Semantics for Smarter Cities, 19 Oct 2014, Riva del Garda, Italy. https://oro.open.ac.uk/42047/.
