Hyeongsik Kim

Kim, H., Ravindra, P., & Anyanwu, K. (2017). A semantics-aware storage framework for scalable processing of knowledge graphs on hadoop. 2017 IEEE International Conference on Big Data (Big Data), 193–202. https://doi.org/10.1109/bigdata.2017.8257927

Ravindra, P., Kim, H., & Anyanwu, K. (2015). Rewriting complex SPARQL analytical queries for efficient cloud-based processing. Proceedings 2015 IEEE International Conference on Big Data, 32–37. https://doi.org/10.1109/bigdata.2015.7363738

Anyanwu, K., Ravindra, P., & Kim, H. (2014). Algebraic optimization of RDF graph pattern queries on MapReduce. Large Scale and Big Data: Processing and Management, 183–227. https://doi.org/10.1201/b17112-7

Anyanwu, K., Kim, H. S., & Ravindra, P. (2013). Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. IEEE INTERNET COMPUTING, 17(2), 52–61. https://doi.org/10.1109/mic.2012.22

Kim, H., & Anyanwu, K. (2013). Optimizing queries over semantically integrated datasets on mapreduce platforms. 2013 IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2013.6691788

Fu, H. Z., Kim, H., & Anyanwu, K. (2013). Scaling concurrency of personalized semantic search over large RDF data. 2013 IEEE International Conference on Big Data. https://doi.org/10.1109/bigdata.2013.6691622