Name
Abstract | ||
|---|---|---|
•LKAQ can balance the trade-off among efficiency, accuracy, and inmemory usage.•Two novel indices are designed for large-scale knowledge graphs.•The indices perform the query result discovery efficiently with memory constraint.•LKAQ could return high-usability and accurate results efficiently in limited memory. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ins.2019.07.087 | Information Sciences |
Keywords | Field | DocType |
Large-scale knowledge graph,Query,Memory limited | Graph,Knowledge graph,Algorithm,Mathematics | Journal |
Volume | ISSN | Citations |
505 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaolong Wan | 1 | 0 | 0.34 |
| Hongzhi Wang | 2 | 421 | 73.72 |
| Jianzhong Li | 3 | 63 | 24.23 |