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PoolParty GraphEditor

Knowledge Graph Management for DATA SCIENTISTS & Subject Matter Experts

Why PoolParty GraphEditor?

The PoolParty GraphEditor allows data scientists and domain experts build and manage data graphs. 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 Stardog, MarkLogic 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.

Examples of GraphEditor Uses

Large pharmaceutical companies draw upon GraphEditor for tracking down data inconsistencies and fix it manually.

Major financial institutions integrate and explore their data with assisted SPARQL queries supported by PoolParty GraphEditor.

Video game companies model their data in RDF based on industry ontologies thank GraphEditor.

Consulting companies make use of a variety of existing vocabularies since GraphEditor especially supports heterogeneous graph data landscapes.

Main Features of PoolParty GraphEditor

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Knowledge Graph Management along the entire Linked Data Lifecycle

Create and edit data based on any ontology. GraphEditor is an entirely new addition to PoolParty, and complements its taxonomy and ontology management capabilities. A state-of-the-art editor that 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 you want to use with a couple of clicks.

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Combining Data from Multiple Graph Databases on a large scale

Connect and manage data from several graph databases. A remote storage architecture allows you to store all data created in PoolParty in various graph databases. This functionality offers the ability to work on large data lakes in a highly structured manner. By that, it also provides support for high availability and scalability scenarios.

Visual Query Editor

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.

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Bulk and Inline Editing

Use GraphEditor inline editing feature to work on RDF Graphs in-place and see results immediately. Also, you can edit multiple data points at once, such as adding or removing data or deleting the selected resources.

Controlled Collaboration

Define multiple editors per project and grant them different ways to access the data. Read-only for example to prevent data loss or damage.

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