Publications

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Journal Article
M. Cheatham, Varanka, D., Arauz, F., and Zhou, L., “Alignment of Surface Water Ontologies: A comparison of manual and automated approaches”, Journal of Geographical Systems, 2019.
L. Zhou, Cheatham, M., Krisnadhi, A., and Hitzler, P., “GeoLink Dataset: A Complex Alignment Benchmark from Real-world Ontology”, Data Intelligence , 2020.
M. K. Sarker, Zhou, L., Eberhart, A., and Hitzler, P., “Neuro-Symbolic Artificial Intelligence: Current Trends”, 2021.PDF icon 2021_AIC_NeSy.pdf (149.19 KB)
P. Hitzler, Janowicz, K., Shimizu, C., Zhou, L., and Eells, A., “Open Science data and the Semantic Web journal”, Semantic Web, vol. 12(3), 2021.PDF icon sw_open_science_editorial.pdf (38.56 KB)
L. Zhou, Thieblin, E., Cheatham, M., Faria, D., Pesquita, C., Trojahn, C., and Zamazal, O., “Towards Evaluating Complex Ontology Alignments”, Knowledge Engineering Review, vol. 35, 2020.
Posters
E. Thieblin, Cheatham, M., Trojahn, C., Zamazal, O., and Zhou, L., “The First Version of the OAEI Complex Alignment Benchmark”, ISWC Poster and Demo Session. 2018.PDF icon OM_poster_2018_benchmark.pdf (300.48 KB)
L. Zhou, Wang, W., and Chen, K., “Identifying Regrettable Messages from Tweets”. International World Wide Web Conferences Steering Committee, 2015.
L. Zhou and Cheatham, M., “A Replication Study: Understanding What Drives the Performance in WikiMatch”. 2017.PDF icon om2017_poster5.pdf (116.17 KB)
Presentation
Z. Alavi, Zhou, L., Powers, J., and Chen, K., “RASP-QS: Efficient and Confidential Query Services in the Cloud”. VLDB Endowment, 2014.
Thesis
L. Zhou, “Towards automated complex ontology alignment using rule-based machine learning”, Kansas State University, Manhattan, 2020.PDF icon Towards_Automated_Complex_Onto.pdf (5.52 MB)

Pages