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Research Associate (Data Architectures)
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Dr. Shuangyan Liu obtained her Ph.D. in Computer Science from the University of Warwick. She studied for an MPhil in Computer Science at the City University of Hong Kong, and BEng in Software Engineering at the Yunnan University, China.

Shuangyan Liu is currently a research associate at the Knowledge Media Institute. She is a member of the Data Science group. Prior to join KMi, she was a research fellow at Aston Business School, where she worked in an interdisciplinary team of computer scientists, social scientists, and mathematicians.

Shuangyan's research currently concentrates on data integration and data quality assessment, in particular the following topics:

- Knowledge Graph quality assessment

- Smart city data acquisition and storage

- Learning analytics

Shuangyan has published 19 scientific papers. She currently works on the MK:Smart project, and previously worked for the EC-funded project Disaster 2.0.

Team: Alessandro Adamou, Emanuele Bastianelli, Enrico Daga, Enrico Motta, Ilaria Tiddi

Projects

MK:Smart

News

Publications

 

Liu, S., Allocca, C., d'Aquin, M. and Motta, E. (2017) TAA: A Platform for Triple Accuracy Measuring and Evidence Triples Discovering, Demo at The International Semantic Web Conference 2017

Publications | Visit External Site for Details Publications | doi 

Liu, S., d'Aquin, M. and Motta, E. (2017) Measuring Accuracy of Triples in Knowledge Graphs, International Conference on Language, Data and Knowledge, Galway, Ireland, 10318, pp. 343-357, Springer, Cham

Publications | Visit External Site for Details Publications | doi 

Liu, S. and d'Aquin, M. (2017) Unsupervised Learning for Understanding Student Achievement in a Distance Learning Setting, The IEEE Global Engineering Education Conference (EDUCON) 2017, Athens, Greece, IEEE

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Liu, S., d'Aquin, M. and Motta, E. (2015) Towards Linked Data Fact Validation through Measuring Consensus, Workshop: the 2nd Workshop on Linked Data Quality at the 12th ESWC, Portoroz, Slovenia

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d'Aquin, M., Adamou, A., Daga, E., Liu, S., Thomas, K. and Motta, E. (2014) Dealing with Diversity in a Smart-City Datahub, Workshop: 5th Workshop on Semantics for Smarter Cities

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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