Knowledge Graph Enrichment Scenarios

Knowledge Graphs (KGs) have been recognized by several industries as an efficient approach for data governance, semantic enrichment, and as a data integration technology that brings unstructured and structured data together. One of the paramount processes, which determines the usability of your KG over the years, is the process of the KG enrichment and curation.

PoolParty Semantic Integrator (https://www.poolparty.biz/) is a world-class semantic technology suite for a creation, enrichment, curation, and exploration of KGs, which is available on the market for more than 10 years. PoolParty Semantic Integrator includes several components for handling KGs, such as: PoolParty Thesaurus Server and PoolParty GraphEditor as central points for KGs creation, management, and curation, PoolParty UnifiedViews for orchestrating the KG enrichment tasks, and PoolParty GraphViews for visualizing and exploring KGs.

In this project we focus on practical examples of typical knowledge graph enrichment scenarios covering extraction of real-world entities and relations from both structured and unstructured data sources.

Keywords

Knowledge graph, scenarios, PoolParty Semantic Integrator, semantic enrichment, data integration, Semantic technologies, PoolParty Semantic Suite, enrichment, curation, efficient, Data governance, integration technologies, Structured data, usability