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PoolParty GraphEditor

The PoolParty GraphEditor complements taxonomy and ontology management and supports knowledge graph management along the entire data lifecycle.

GraphEditor Setup FiltersData Connections

Easily specify the properties of the GraphEditor based on URI, schemes, linked data, and other criteria.

Filter your views of the data with classes, relations and attributes of the custom schemes and ontologies you have selected.

Connect the workspace to various knowledge graphs.

Virtual assistant
Linked data
customize views
Bulk editing

PoolParty offers a unique tool for editing RDF data directly: the PoolParty GraphEditor.  It seamlessly integrates into the PoolParty interface on a project level. This way you can easily connect and manage data from several graph databases like GraphDB and RDF4J. The PoolParty GraphEditor’s collaborative and flexible interface allows you to edit specific parts of a knowledge graph with ease. A visual query editor also allows for knowledge graph exploration based on customisable views.

GraphEditor supports knowledge engineering capabilities along the entire linked data lifecycle.

Virtual Assistant for Creating GraphEditors

PoolParty GraphEditor offers a user-friendly virtual assistant that facilitates the creation of new GraphEditors.

Specify basic metadata
URI generation patterns
Ontologies
And the graph database(s) you want to use with a couple of clicks

Combining Data from Multiple Graph Databases

A remote storage architecture allows you to store all data created in PoolParty in various graph databases.

Connect and manage data from several graph databases
Work on large data lakes in a highly structured manner to support for high availability and scalability scenarios

Customize Views

Define custom filters to search for or limit your view of the data in the search tab of the GraphEditor. You can filter using all classes, relations and attributes of the custom schemes and ontologies you have selected.

Bulk and Inline Editing for Different Users

Use GraphEditor inline editing feature to work on RDF Graphs in-place and see results immediately.

Edit multiple data points at once, such as adding or removing data or deleting the selected resources
Define multiple editors per project and grant them different ways to access the data to prevent data loss or damage