A comprehensive survey on automatic knowledge graph construction
Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …
knowledge. To this end, much effort has historically been spent extracting informative fact …
Defining a knowledge graph development process through a systematic review
G Tamašauskaitė, P Groth - ACM Transactions on Software Engineering …, 2023 - dl.acm.org
Knowledge graphs are widely used in industry and studied within the academic community.
However, the models applied in the development of knowledge graphs vary. Analysing and …
However, the models applied in the development of knowledge graphs vary. Analysing and …
Santos: Relationship-based semantic table union search
Existing techniques for unionable table search define unionability using metadata (tables
must have the same or similar schemas) or column-based metrics (for example, the values …
must have the same or similar schemas) or column-based metrics (for example, the values …
Using large language models for zero-shot natural language generation from knowledge graphs
A Axelsson, G Skantze - ar** via Zero-Shot Analogical Pruning
Knowledge Graph Construction (KGC) can be seen as an iterative process starting from a
high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop …
high quality nucleus that is refined by knowledge extraction approaches in a virtuous loop …
Compositional generalization in multilingual semantic parsing over Wikidata
Semantic parsing (SP) allows humans to leverage vast knowledge resources through
natural interaction. However, parsers are mostly designed for and evaluated on English …
natural interaction. However, parsers are mostly designed for and evaluated on English …