PoolParty 7.0 Leverages the Power of Knowledge GraphsIntroducing GraphEditor in New PoolParty 7.0 Release
PoolParty now supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle.
Knowledge graphs and graph-based data in general are becoming increasingly important for addressing various data management challenges in industries such as financial services, life sciences, healthcare or energy.
At the core of this challenge is the comprehensive management of graph-based data, ranging from taxonomy to ontology management to the administration of comprehensive data graphs along with a defined governance framework. Various data sources are integrated and linked (semi) automatically using NLP and machine learning algorithms. Tools for securing high data quality and consistency are an integral part of such a platform.
PoolParty 7.0 can now handle a full range of enterprise data management tasks. Based on agile data integration, machine learning and text mining, or ontology-based data analysis, applications are developed that allow knowledge workers, marketers, analysts or researchers a comprehensive and in-depth view of previously unlinked data assets.
At the heart of the new release is the PoolParty GraphEditor, which complements the Taxonomy, Thesaurus, and Ontology Manager components that have been around for some time. All in all, data engineers and subject matter experts can now administrate and analyze enterprise-wide and heterogeneous data stocks with comfortable means, or link them with the help of artificial intelligence.
With PoolParty GraphEditor you can ...
Create ontology-driven custom editors to work with graph data.
Use multiple graphs to create integrated views on graph data.
Import and export of graphs.
Benefit from assisted search over graph data.
Benefit from assisted bulk editing of graphs.
Administrate graphs based on user-friendly inline editing.
Generate SPARQL queries based on a digital assistant.
More highlights of PoolParty 7.0
Extended user and role management
Machine learning based entity linker
Extended graph database support incl. enterprise-scale clustering
Improved ontology management