| Title |
LIang, Ying_MCS_2021 |
| Alternative Title |
Applying Knowledge Graph and Natural Language Processing to Question Answer System |
| Creator |
Llang, Ying |
| Collection Name |
Master of Computer Science |
| Description |
A knowledge graph is typically built on top of existing databases to link all data together at web-scale combing both structured and unstructured information. Apache Jena is composed of different APIs interacting together to process Relationship Database (RDB) data and generating a knowledge graph. Natural language processing (NLP) is a subfield of linguistics and concerned with the interaction between computers and human language. Combine knowledge graph with NLP and retrieve question's answer is the main goal in this project. |
| Subject |
Natural language processing (Computer science); Computational linguistics; Computer science |
| Keywords |
NLP (Computer science); Knowledge graph; Relationship database data; RDB; Linguistics |
| Digital Publisher |
Stewart Library, Weber State University |
| Date |
2021 |
| Language |
eng |
| Rights |
The author has granted Weber State University Archives a limited, non-exclusive, royalty-free license to reproduce their theses, in whole or in part, in electronic or paper form and to make it available to the general public at no charge. The author retains all other rights. |
| Source |
University Archives Electronic Records; Master of Education in Curriculum and Instruction. Stewart Library, Weber State University |
| Format |
application/pdf |
| ARK |
ark:/87278/s6e9x5xe |
| Setname |
wsu_smt |
| ID |
96838 |
| Reference URL |
https://digital.weber.edu/ark:/87278/s6e9x5xe |
