VKGBuilder - A Tool of Building and Exploring Vertical Knowledge Graphs

The major benefits of the ConceptModeller tool architecture and interface are problem- oriented IS development in nearly natural language terms, situation-based

In this article, we propose the Sematch framework for entity search in the knowledge graph that combines natural language query processing, entity linking, entity type linking

Named entity recognition and automatic semantic data generation from natural language text has already been investigated and several knowledge extraction systems already exist [3]

The goal of building a Knowledge Graph (KG) for the GESIS Panel by semanti- cally lifting the original data sources to a shared RDF data model is improving the discovery, search