E-LIB Suche - Ergebnisse für: Kim, Hyeongsik

1

Structured Prompt Interrogation and Recursive Extraction of..:

Caufield, J Harry ; Hegde, Harshad ; Emonet, Vincent...
Bioinformatics. 40 (2024) 3 - p. , 2024

Link: https://doi.org/10.1093/..

2

LFDA: A Framework for Light Field Depth Estimation With Dep..:

Kim, Hyeongsik ; Han, Seungjin ; Kim, Youngseop
IEEE Access. 12 (2024) - p. 65032-65040 , 2024

Link: https://doi.org/10.1109/..

3

Moisture evaporation prediction model for fresh storage of ..:

Kim, Hyeongsik ; Kim, Jooshin ; Park, Youngmin.
Journal of Mechanical Science and Technology. 37 (2023) 4 - p. 2043-2054 , 2023

Link: https://doi.org/10.1007/..

4

A Simple Standard for Sharing Ontological Mappings (SSSOM):

Matentzoglu, Nicolas ; Balhoff, James P ; Bello, Susan M...
Database. 2022 (2022) - p. , 2022

Link: https://doi.org/10.1093/..

5

Ontology Development Kit: a toolkit for building, maintaini..:

Matentzoglu, Nicolas ; Goutte-Gattat, Damien ; Tan, Shawn Zheng Kai...
Database. 2022 (2022) - p. , 2022

Link: https://doi.org/10.1093/..

6

EaT-PIM: Substituting Entities in Procedural Instructions U..:

, In: The Semantic Web – ISWC 2022; Lecture Notes in Computer Science,

Shirai, Sola S. ; Kim, HyeongSik - p. 161-178 , 2022

Link: https://doi.org/10.1007/..

7

Semantic query transformations for increased parallelizatio..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Kim, Hyeongsik ; Bhattacharyya, Abhisha ; Anyanwu, Kemafor - p. 1-14 , 2019

Link: https://dl.acm.org/doi/1..

8

Type-based Semantic Optimization for Scalable RDF Graph Pat..:

, In: Proceedings of the 26th International Conference on World Wide Web,

Kim, HyeongSik ; Ravindra, Padmashree ; Anyanwu, Kemafor - p. 785-793 , 2017

Link: https://dl.acm.org/doi/1..

9

Investigation of the frictional impulse induced abnormal no..:

Lee, Dong-Gyu ; Park, Jeong-Hyun ; Park, Ki-Hong...
International Journal of Precision Engineering and Manufacturing. 14 (2013) 4 - p. 559-566 , 2013

Link: https://doi.org/10.1007/..

10

Optimizing RDF(S) queries on cloud platforms:

, In: Proceedings of the 22nd International Conference on World Wide Web,

Kim, HyeongSik ; Ravindra, Padmashree ; Anyanwu, Kemafor - p. 261-264 , 2013

Link: https://dl.acm.org/doi/1..

11

Algebraic Optimization for Processing Graph Pattern Queries..:

Anyanwu, Kemafor ; Kim, HyeongSik ; Ravindra, Padmashree
IEEE Internet Computing. 17 (2013) 2 - p. 52-61 , 2013

Link: https://doi.org/10.1109/..

12

To nest or not to nest, when and how much : representing..:

, In: Proceedings of the 4th International Workshop on Semantic Web Information Management,

Ravindra, Padmashree ; Kim, HyeongSik ; Anyanwu, Kemafor - p. 1-8 , 2012

Link: https://dl.acm.org/doi/1..

13

Efficient processing of RDF graph pattern matching on MapRe..:

, In: Proceedings of the second international workshop on Data intensive computing in the clouds,

Ravindra, Padmashree ; Hong, Seokyong ; Kim, HyeongSik. - p. 13-20 , 2011

Link: https://dl.acm.org/doi/1..

14

From SPARQL to MapReduce: the journey using a nested Triple..:

Kim, HyeongSik ; Ravindra, Padmashree ; Anyanwu, Kemafor
Proceedings of the VLDB Endowment. 4 (2011) 12 - p. 1426-1429 , 2011

Link: https://doi.org/10.14778..

15

From SPARQL to MapReduce : the journey using a nested Tr..:

Kim, HyeongSik ; Ravindra, Padmashree ; Anyanwu, Kemafor
Proceedings of the VLDB Endowment. 4 (2011) 12 - p. 1426-1429 , 2011

Link: https://dl.acm.org/doi/1..