In generating natural language descriptions for knowledge graph triples, prior works used
either small-scale, human-annotated datasets or datasets with limited variety of graph …

Querying graph databases has emerged as an important research problem for real-world
applications that center on large graph data. Given the syntactic complexity of graph query …

An increasing amount of knowledge in the world is stored in graph databases. However,
most people have limited or no understanding of database schemes and query languages …

This dissertation delves into the realm of natural language generation (NLG) from expansive
open-domain knowledge graphs, aiming to bridge the gap between existing methods …

In recent years, availability of massive amounts of data, the global nature of collaborative
research, the emergence of web services platforms, and interconnected resources on the …