smart book recommender technology full details
Champion:
Francesco Osborne
Senior Research Fellow
Participant(s):Thiviyan Thanapalasingam
Similar Technologies:Rexplore
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Smart Book Recommender
An ontology-based recommender system for books, journals, and conference proceedings
The Smart Book Recommender (SBR) is a ontology-based recommender system, developed in collaboration with Springer Nature, which suggests books, journals and conference proceedings that are likely to be relevant to the attendees of a given conference. It relies on a background knowledge of 27K books and 270 journals. Each editorial product is represented as a distribution of research topics drawn from the Computer Science Ontology, a large-scale automatically-generated ontology of research fields. In addition, SBR offers an advanced interface for visualizing and comparing the taxonomy of research areas associated with each item. This solution allows users to comprehend the rationale behind the recommendation and to gain a good understanding of the content of each editorial product.
Partners
- Springer Nature
News
24 Nov 2020
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/.
