12 citations · 52 across the 13 of their papers we have counts for
7 papers · 1 filter
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka, Ryutaro Ichise
Knowledge Graph Representation Learning (KGRL), or Knowledge Graph Embedding (KGE), is essential for AI applications such as knowledge construction and information retrieval. These…
TabEAno: Table to Knowledge Graph Entity Annotation
Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise +1
In the Open Data era, a large number of table resources have been made available on the Web and data portals. However, it is difficult to directly utilize such data due to the ambi…
MTab: Matching Tabular Data to Knowledge Graph using Probability Models
Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise +1
This paper presents the design of our system, namely MTab, for Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2019). MTab combines the voting algorithm…
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence tasks but often have missing data. Hence, a method for completing knowledge graphs is required. Existing approaches inc…
Graph Pattern Entity Ranking Model for Knowledge Graph Completion
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs have evolved rapidly in recent years and their usefulness has been demonstrated in many artificial intelligence tasks. However, knowledge graphs often have lots of…
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding model…
Integrating Know-How into the Linked Data Cloud
Paolo Pareti, Benoit Testu, Ryutaro Ichise +2
This paper presents the first framework for integrating procedural knowledge, or "know-how", into the Linked Data Cloud. Know-how available on the Web, such as step-by-step instruc…