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.
Partners
- Springer Nature
News
13 Mar 2026
Nancy Pontika
24 Nov 2020
KMi News
30 Sep 2020
KMi News
01 Nov 2016
KMi News
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/.
