# On Event-Driven Knowledge Graph Completion in Digital Factories

arXiv: https://arxiv.org/abs/2109.03655 · HTML: https://mlsanity.com/paper/2109.03655/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 17 references that are in the map.
- First posted on arXiv 8 Sep 2021.

## Builds on (most cited first, 5 of 5)

- [Distributed Representations of Words and Phrases and their Compositionality](https://mlsanity.com/paper/1310.4546/) (2013)
- [Distributed Representations of Sentences and Documents](https://mlsanity.com/paper/1405.4053/) (2014)
- [A Review of Relational Machine Learning for Knowledge Graphs](https://mlsanity.com/paper/1503.00759/) (2015)
- [SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions](https://mlsanity.com/paper/1604.04835/) (2016)
- [Emergence of Digital Twins](https://mlsanity.com/paper/1610.06467/) (2016)

## Built on by (most cited first, 2 of 2)

- [Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing](https://mlsanity.com/paper/2201.04876/) (2022)
- [Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding](https://mlsanity.com/paper/2209.11067/) (2022)

## Abstract (arXiv)

Smart factories are equipped with machines that can sense their manufacturing environments, interact with each other, and control production processes. Smooth operation of such factories requires that the machines and engineering personnel that conduct their monitoring and diagnostics share a detailed common industrial knowledge about the factory, e.g., in the form of knowledge graphs. Creation and maintenance of such knowledge is expensive and requires automation. In this work we show how machine learning that is specifically tailored towards industrial applications can help in knowledge graph completion. In particular, we show how knowledge completion can benefit from event logs that are common in smart factories. We evaluate this on the knowledge graph from a real world-inspired smart factory with encouraging results.