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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, Carlo Allocca, Emanuele Bastianelli, Mathieu d'Aquin, Enrico Daga, Enrico Motta, Keerthi Thomas, Ilaria Tiddi

Projects

MK:Smart

Publications

Publications | Download PDF  

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

Publications | Download PDF  

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

Publications | Visit External Site for Details Publications | doi 

Liu, S., Joy, M. and Griffiths, N. (2013) An exploratory study on group formation based on learning styles, 13th IEEE International Conference on Advanced Learning Technologies (ICALT 2013), Beijing, China

Publications | Visit External Site for Details  

Liu, S., Brewster, C. and Shaw, D. (2013) Ontologies for crisis management: a review of state of the art in ontology design and usability, 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), Baden-Baden, Germany, pp. 349-359

Publications | Visit External Site for Details  

Liu, S., Brewster, C. and Shaw, D. (2013) A semantic framework for enhancing information interoperability in emergency and disaster management, SMERST 2013: Social Media and Semantic Technologies in Emergency Response, Coventry, UK

View all 14 publications

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