An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce. - Padmashree Ravindra; HyeongSik Kim 001; Kemafor Anyanwu (ESWC (2), 2011)

From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (Proc. VLDB Endow., 2011)

Scan-Sharing for Optimizing RDF Graph Pattern Matching on MapReduce. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (IEEE CLOUD, 2012)

To nest or not to nest, when and how much: representing intermediate results of graph pattern queries in MapReduce based processing. - Padmashree Ravindra; HyeongSik Kim 001; Kemafor Anyanwu (SWIM, 2012)

Scaling concurrency of personalized Semantic search over Large RDF data. - Haizhou Fu; HyeongSik Kim 001; Kemafor Anyanwu (IEEE BigData, 2013)

Optimizing queries over semantically integrated datasets on MapReduce platforms. - HyeongSik Kim 001; Kemafor Anyanwu (IEEE BigData, 2013)

Optimizing RDF(S) queries on cloud platforms. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (WWW (Companion Volume), 2013)

Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. - Kemafor Anyanwu; HyeongSik Kim 001; Padmashree Ravindra (IEEE Internet Comput., 2013)

Algebraic Optimization of RDF Graph Pattern Queries on MapReduce. - Kemafor Anyanwu; Padmashree Ravindra; HyeongSik Kim 001 (Large Scale and Big Data, 2014)

A Semantics-Oriented Storage Model for Big Heterogeneous RDF Data. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (ISWC (Posters & Demos), 2014)

Rewriting complex SPARQL analytical queries for efficient cloud-based processing. - Padmashree Ravindra; HyeongSik Kim 001; Kemafor Anyanwu (IEEE BigData, 2015)

Optimization of Complex SPARQL Analytical Queries. - Padmashree Ravindra; HyeongSik Kim 001; Kemafor Anyanwu (EDBT, 2016)

Scalable Ontological Query Processing over Semantically Integrated Life Science Datasets using MapReduce. - HyeongSik Kim 001; Kemafor Anyanwu (CoRR, 2016)

A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (IEEE BigData, 2017)

Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. - HyeongSik Kim 001; Padmashree Ravindra; Kemafor Anyanwu (WWW, 2017)

Scalable Exploratory Search on Knowledge Graphs Using Apache Spark. - Avimanyu Mukhopadhyay; HyeongSik Kim 001; Kemafor Anyanwu (WETICE, 2018)

Semantic query transformations for increased parallelization in distributed knowledge graph query processing. - HyeongSik Kim 001; Abhisha Bhattacharyya; Kemafor Anyanwu (SC, 2019)

Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment. - Monireh Ebrahimi; Md. Kamruzzaman Sarker; Federico Bianchi 001; Ning Xie 009; Aaron Eberhart; Derek Doran; HyeongSik Kim 001; Pascal Hitzler (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

A simple standard for ontological mappings 2022: updates of data model and outlook. - Nicolas Matentzoglu; Joe E. Flack; John B. Graybeal; Nomi L. Harris; Harshad B. Hegde; Charles Tapley Hoyt; Hyeongsik Kim 001; Sabrina Toro; Nicole A. Vasilevsky; Christopher J. Mungall (OM@ISWC, 2022)

EaT-PIM: Substituting Entities in Procedural Instructions Using Flow Graphs and Embeddings. - Sola S. Shirai; HyeongSik Kim 001 (ISWC, 2022)

A Simple Standard for Sharing Ontological Mappings (SSSOM). - Nicolas Matentzoglu; James P. Balhoff; Susan M. Bello; Chris Bizon; Matthew H. Brush; Tiffany J. Callahan; Christopher G. Chute; William D. Duncan; Chris T. A. Evelo; Davera Gabriel; John B. Graybeal; Alasdair J. G. Gray; et al. (Database J. Biol. Databases Curation, 2022)

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies. - Nicolas Matentzoglu; Damien Goutte-Gattat; Shawn Zheng Kai Tan; James P. Balhoff; Seth Carbon; Anita R. Caron; William D. Duncan; Joe E. Flack; Melissa A. Haendel; Nomi L. Harris; William R. Hogan; Charles Tapley Hoyt; et al. (Database J. Biol. Databases Curation, 2022)

Ontology Development Kit: a toolkit for building, maintaining, and standardising biomedical ontologies. - Nicolas Matentzoglu; Damien Goutte-Gattat; Shawn Zheng Kai Tan; James P. Balhoff; Seth Carbon; Anita R. Caron; William D. Duncan; Joe E. Flack; Melissa A. Haendel; Nomi L. Harris; William R. Hogan; Charles Tapley Hoyt; et al. (CoRR, 2022)

A Textual Dataset for Situated Proactive Response Selection. - Naoki Otani; Jun Araki; HyeongSik Kim 001; Eduard H. Hovy (ACL (1), 2023)

A simple standard for ontological mappings 2023: updates on data model, collaborations and tooling. - Nicolas Matentzoglu; Ian Braun; Anita R. Caron; Damien Goutte-Gattat; Benjamin M. Gyori; Nomi L. Harris; Emily Hartley; Harshad B. Hegde; Sven Hertling; Charles Tapley Hoyt; Hyeongsik Kim 001; Huanyu Li 001; et al. (OM@ISWC, 2023)

Gene Set Summarization using Large Language Models. - Marcin P. Joachimiak; J. Harry Caufield; Nomi L. Harris; Hyeongsik Kim 001; Christopher J. Mungall (CoRR, 2023)

MapperGPT: Large Language Models for Linking and Mapping Entities. - Nicolas Matentzoglu; J. Harry Caufield; Harshad B. Hegde; Justin T. Reese; Sierra A. T. Moxon; Hyeongsik Kim 001; Nomi L. Harris; Melissa A. Haendel; Christopher J. Mungall (CoRR, 2023)

Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning. - J. Harry Caufield; Harshad Hegde; Vincent Emonet; Nomi L. Harris; Marcin P. Joachimiak; Nicolas Matentzoglu; Hyeongsik Kim 001; Sierra A. T. Moxon; Justin T. Reese; Melissa A. Haendel; Peter N. Robinson; Christopher J. Mungall (Bioinform., 2024)