Shuangyan LiuResearch Associate (Data Architectures)
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.
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
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
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
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
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