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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Exploring Graph-querying approaches in LifeGraph |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 9781450385336 |
| Page Range | 7 - 10 |
| Event Title | ICMR '21: International Conference on Multimedia Retrieval |
| Event Type | workshop |
| Event Location | Taipei Taiwan |
| Event Start Date | September 21 - 2021 |
| Event End Date | September 21 - 2021 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Abstract Text | The multi-modal and interrelated nature of lifelog data makes it well suited for graph-based representations. In this paper, we present the second iteration of LifeGraph, a Knowledge Graph for Lifelog Data, initially introduced during the 3rd Lifelog Search Challenge in 2020. This second iteration incorporates several lessons learned from the previous version. While the actual graph has undergone only small changes, the mechanisms by which it is traversed during querying as well as the underlying storage system which performs the traversal have been changed. The means for query formulation have also been slightly extended in capability and made more efficient and intuitive. All these changes have the aim of improving result quality and reducing query time. |
| Official URL | https://dl.acm.org/doi/10.1145/3463948.3469068 |
| Digital Object Identifier | 10.1145/3463948.3469068 |
| Other Identification Number | merlin-id:21493 |
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