Projects per year
Organization profile
Organization Profile
The UCL Big Data Institute explores innovative ways to better serve the needs of researchers, through the investigation of new technologies and analytics as applied to scholarly content and data.
The Institute is an innovation hub, based at UCL, founded with support from Elsevier. It tackles the challenges faced by researchers as they seek to forecast trends, synthesise information from thousands of research papers and show the potential societal impact of their research.
The research undertaken through the Big Data Institute forms part of the broader activities of the UCL Centre for Data Science. For UCL's data science-related news and events, visit the Centre for Data Science Website.
'Big Data' is a general term, referring to the huge volumes and varieties of data which have become ubiquitous in government, society and science.
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Research Units
Projects
- 4 Finished
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Construction of Method and Algorithm Knowledge Graphs at University College London (UCL) Big Data Institute
Lunagomez, S., Collins, E., Augenstein, I., Riedel, S., Maynard, D., Montcheva, K., Ling, E. & Hobby, M.
10/1/15 → 09/30/17
Project: Research
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Dynamic User Interests
Liang, S., Ren, Z., Zhao, Y., Yilmaz, E., Kanoulas, E., Ma, J., De Rijke, M. & Hobby, M.
08/1/15 → 07/1/19
Project: Research
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Predicting Functionality of Novel Proteins with University College London
Jones, D. & Thompson, L.
11/1/14 → 01/1/18
Project: Research
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Complex Query Answering with Neural Link Predictors
Daza, D., Cochez, M., Arakelyan, E. & Minervini, P., 2021, In: ARXIV.Research output: Contribution to journal › Article
Open Access -
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts
Liang, S., Yilmaz, E. & Kanoulas, E., 2018, IEEE Transactions on Knowledge and Data Engineering.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Scopus citations -
Jack the Reader - A machine reading framework
Weissenborn, D., Minervini, P., Dettmers, T., Augenstein, I., Johannes Welb, J., Rocktaeschel, T., Bosnjak, M. & Mitchell, J., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstration.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Press / Media
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These Elsevier collaborations use machine learning to turn data into knowledge
Tim Menzies, Karin Verspoor, David Jones, Anne Gabriel, George Tsatsaronis & Lesley Thompson
12/1/17
1 Media contribution
Press/Media
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The new faces of data science
Isabelle Augenstein, Matt Hobby, Yike Gao, Kathleen Gregory, Mark Siebert, Wouter Haak, Paul Groth, Rinke Hoekstra & George Tsatsaronis
10/1/17
1 Media contribution
Press/Media