Towards Time-Aware Knowledge Graph Completion
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui
Abstract
Knowledge graph (KG) completion adds new facts to a KG by making inferences from existing facts. Most existing methods ignore the time information and only learn from time-unknown fact triples. In dynamic environments that evolve over time, it is important and challenging for knowledge graph completion models to take into account the temporal aspects of facts. In this paper, we present a novel time-aware knowledge graph completion model that is able to predict links in a KG using both the existing facts and the temporal information of the facts. To incorporate the happening time of facts, we propose a time-aware KG embedding model using temporal order information among facts. To incorporate the valid time of facts, we propose a joint time-aware inference model based on Integer Linear Programming (ILP) using temporal consistencyinformationasconstraints. Wefurtherintegratetwomodelstomakefulluseofglobal temporal information. We empirically evaluate our models on time-aware KG completion task. Experimental results show that our time-aware models achieve the state-of-the-art on temporal facts consistently.- Anthology ID:
- C16-1161
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 1715–1724
- Language:
- URL:
- https://aclanthology.org/C16-1161
- DOI:
- Cite (ACL):
- Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, and Zhifang Sui. 2016. Towards Time-Aware Knowledge Graph Completion. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1715–1724, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Towards Time-Aware Knowledge Graph Completion (Jiang et al., COLING 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/C16-1161.pdf
- Data
- FB15k, YAGO