Knowledge Graph Language is a query language for interacting with graphs. It accepts semantic triples (i.e. ("James", "Enjoys", "Coffee")), indexes them, and makes them available for querying. Here is ...

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable. Skip to main content Events Video Special Issues Jobs ...

Integrating knowledge graphs is a promising solution with several key advantages. The advent of transformers has revolutionized text vectorization, achieving unprecedented precision. These embeddings ...

Knowledge graphs in the 2020s: We speak your language It seems we are moving towards a new status quo. If NoSQL stands for Not Only SQL, we could call this NoSPARQL -- Not Only SPARQL.

Knowledge graphs (KGs) are routinely curated to provide factual data for various domain-specific analyses. Nevertheless, it remains nontrivial to explore domain knowledge with standard query languages ...

A graph query language allows you to perform operations on the graph, such as creating, updating, deleting, or querying nodes and edges, as well as applying functions, filters, aggregations, or ...

Question Generation from Knowledge Graphs (KGQG) is a task that aims to generate natural language questions from subgraphs within the given Knowledge Graph. Previous research has discussed numerous ...

The integration of knowledge graphs with large language models represents a significant evolution from their traditional use with natural language processing (NLP). In the earlier NLP era, knowledge ...