the open university linked data project full details
Champion:
Enrico Daga
Senior Research Fellow
Participant(s):Mathieu d'Aquin, Stuart Brown
Similar Projects:DiscOU
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The Open University Linked Data
The home of open linked data from The Open University.
data.open.ac.uk is the home of open linked data from The Open University. We interlink and expose data available in various institutional repositories of the University and make it available openly for reuse.
The data can be queried through a SPARQL endpoint.
Currently, the datasets relate the publications, qualifications, courses and Audio/Video material produced at the Open University, as well as the people involved in making them.
All these data are available through standard formats (RDF and SPARQL) and are (in most cases) available under an open license (see details).
Nambanoor Kunnath, S., Pride, D. and Knoth, P. (2022). Dynamic Context Extraction for Citation Classification. In: The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 20-23 Nov 2022, Virtual. https://oro.open.ac.uk/85520/.
Kunnath, S.N., Herrmannova, D., Pride, D. and Knoth, P. (2022). A Meta-analysis of Semantic Classification of Citations. Quantitative Science Studies, 2(4), pp. 1170–1215. https://oro.open.ac.uk/79616/.
Khare, P. (2020). Identifying and Processing Crisis Information from Social Media. [Thesis] https://oro.open.ac.uk/69594/.
Chamberlain, L., Afroze, J., Cooper, V. and Collins, T. (2019). Representing children's rights from discussion through to illustration and interpretation. The Open University Children’s Research Centre and Amnesty UK International, Milton Keynes. https://oro.open.ac.uk/68276/.
Siddharthan, A., Lambin, C., Robinson, A.M., Sharma, N., Comont, R., O’Mahony, E., Mellish, C. and Van Der Wal, R. (2016). Crowdsourcing Without a Crowd: Reliable Online Species Identification Using Bayesian Models to Minimize Crowd Size. ACM Transactions on Intelligent Systems and Technology, 7(4), https://oro.open.ac.uk/51046/.
Holliman, R., Davies, G., Pearson, V., Collins, T., Sheridan, S., Brown, H., Hallam, J. and Russell, M. (2017). Planning for engaged research: a collaborative ‘Labcast’. In: Kucirkova, Natalia and Quinlan, Oliver eds. The Digitally Agile Researcher. London: Open University Press, pp. 88–106. https://oro.open.ac.uk/50411/.
Grand, A., Holliman, R., Collins, T. and Adams, A. (2016). "We muddle our way through": shared and distributed expertise in digital engagement with research. Journal of Science Communication, 15(4), pp. 1–23. https://oro.open.ac.uk/46686/.
Holliman, R., Adams, A., Blackman, T., Collins, T., Davies, G., Dibb, S., Grand, A., Holti, R., Mckerlie, F., Mahony, N. and Wissenburg, A.E. (2015). An Open Research University. Milton Keynes: The Open University. https://oro.open.ac.uk/44255/.
Gaved, M., Heath, T. and Eisenstadt, M. (2006). Wikis of Locality: Insights from the Open Guides. In: ACM 2006 International Symposium on Wikis: WikiSym '06, 21-23 Aug 2006, Odense, Denmark. https://oro.open.ac.uk/6206/.
