Knowledge Graph Inference using Tensor Embedding
| dc.contributor.author | Ankur Padia | |
| dc.contributor.author | Kalpakis, Kostantinos | |
| dc.contributor.author | Ferraro, Francis | |
| dc.contributor.author | Finin, Tim | |
| dc.date.accessioned | 2021-04-05T17:19:14Z | |
| dc.date.available | 2021-04-05T17:19:14Z | |
| dc.date.issued | 2020-09-12 | |
| dc.description | 17th International Conference on Principles of Knowledge Representation and Reasoning | en_US |
| dc.description.abstract | Axiom based inference provides a clear and consistent way of reasoning to add more information to a knowledge graph. However, constructing a set of axioms is expensive and requires domain expertise, time, and money. It is also difficult to reuse or adapt a set of axioms to a knowledge graph in a new domain or even in the same domain but using a slightly different representation approach. This work makes three main contributions, it (1) provides a family of representation learning algorithms and an extensive analysis on eight datasets; (2) yields better results than existing tensor and neural models; and (3) includes a provably convergent factorization algorithm. | en_US |
| dc.description.uri | https://ebiquity.umbc.edu/paper/html/id/943/Knowledge-Graph-Inference-using-Tensor-Embedding | en_US |
| dc.format.extent | 2 pages | en_US |
| dc.genre | conference paper and proceedings postprints | en_US |
| dc.identifier | doi:10.13016/m2liqg-p4hy | |
| dc.identifier.citation | Ankur Padia; Kalpakis, Kostantinos; Ferraro, Francis; Finin, Tim; Knowledge Graph Inference using Tensor Embedding; 17th International Conference on Principles of Knowledge Representation and Reasoning (2020); https://ebiquity.umbc.edu/paper/html/id/943/Knowledge-Graph-Inference-using-Tensor-Embedding | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/21282 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | UMBC High Performance Computing Facility (HPCF) | en_US |
| dc.title | Knowledge Graph Inference using Tensor Embedding | en_US |
| dc.type | Text | en_US |