| An intermediate algebra for optimizing RDF graph pattern matching on MapReduce P Ravindra, HS Kim, K Anyanwu The Semanic Web: Research and Applications: 8th Extended Semantic Web …, 2011 | 107 | 2011 |
| From sparql to mapreduce: The journey using a nested triplegroup algebra HS Kim, P Ravindra, K Anyanwu Proceedings of the VLDB Endowment 4 (12), 1426-1429, 2011 | 77 | 2011 |
| Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning JH Caufield, H Hegde, V Emonet, NL Harris, MP Joachimiak, ... Bioinformatics 40 (3), btae104, 2024 | 72 | 2024 |
| A simple standard for sharing ontological mappings (SSSOM) N Matentzoglu, JP Balhoff, SM Bello, C Bizon, M Brush, TJ Callahan, ... Database 2022, baac035, 2022 | 66 | 2022 |
| Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies N Matentzoglu, D Goutte-Gattat, SZK Tan, JP Balhoff, S Carbon, ... Database 2022, baac087, 2022 | 43 | 2022 |
| Scan-sharing for optimizing rdf graph pattern matching on mapreduce HS Kim, P Ravindra, K Anyanwu 2012 IEEE Fifth International Conference on Cloud Computing, 139-146, 2012 | 22 | 2012 |
| Algebraic optimization for processing graph pattern queries in the cloud K Anyanwu, HS Kim, P Ravindra IEEE Internet Computing 17 (2), 52-61, 2012 | 17 | 2012 |
| Efficient processing of RDF graph pattern matching on MapReduce platforms P Ravindra, S Hong, HS Kim, K Anyanwu Proceedings of the second international workshop on Data intensive computing …, 2011 | 16 | 2011 |
| Type-based semantic optimization for scalable RDF graph pattern matching HS Kim, P Ravindra, K Anyanwu Proceedings of the 26th International Conference on World Wide Web, 785-793, 2017 | 15 | 2017 |
| Neuro-symbolic deductive reasoning for cross-knowledge graph entailment M Ebrahimi, MK Sarker, F Bianchi, N Xie, A Eberhart, D Doran, HS Kim, ... AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021 | 14 | 2021 |
| Gene set summarization using large language models MP Joachimiak, JH Caufield, NL Harris, H Kim, CJ Mungall ArXiv, 2023 | 9 | 2023 |
| To nest or not to nest, when and how much: Representing intermediate results of graph pattern queries in mapreduce based processing P Ravindra, HS Kim, K Anyanwu Proceedings of the 4th International Workshop on Semantic Web Information …, 2012 | 9 | 2012 |
| Optimizing RDF (S) queries on cloud platforms HS Kim, P Ravindra, K Anyanwu Proceedings of the 22nd International Conference on World Wide Web, 261-264, 2013 | 8 | 2013 |
| Optimization of Complex SPARQL Analytical Queries. P Ravindra, HS Kim, K Anyanwu EDBT, 257-268, 2016 | 7 | 2016 |
| Semantic query transformations for increased parallelization in distributed knowledge graph query processing H Kim, A Bhattacharyya, K Anyanwu Proceedings of the International Conference for High Performance Computing …, 2019 | 6 | 2019 |
| A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop HS Kim, P Ravindra, K Anyanwu 2017 IEEE International Conference on Big Data (Big Data), 193-202, 2017 | 6 | 2017 |
| Personalizing search: A case for scaling concurrency in multitenant semantic web search systems KAH Fu, HS Kim IEEE International Conference on Big Data, 2013 | 4 | 2013 |
| Mappergpt: Large language models for linking and mapping entities N Matentzoglu, JH Caufield, HB Hegde, JT Reese, S Moxon, H Kim, ... arXiv preprint arXiv:2310.03666, 2023 | 3 | 2023 |
| On the underspecification of situations in open-domain conversational datasets N Otani, J Araki, HS Kim, E Hovy Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI …, 2023 | 3 | 2023 |
| A simple standard for ontological mappings 2023: updates on data model, collaborations and tooling. N Matentzoglu, I Braun, AR Caron, D Goutte-Gattat, BM Gyori, NL Harris, ... OM@ ISWC, 73-78, 2023 | 3 | 2023 |
Kemafor AnyanwuNorth Carolina State UniversityVerified email at ncsu.edu
