Graph Modeling
Build the foundation for your knowledge management strategy with an award-winning graph modeling tool.
Graphwise’s graph modeling tool – PoolParty – is regarded as a premium taxonomy and ontology management by industry publishers such as KMWorld and Gartner. Not only is it easy-to-use despite its powerful capabilities, it covers all the components needed to maintain taxonomies and later leverage the knowledge model with machine learning and AI in order to further scale your enterprise business processes.
Without a taxonomy management tool like Graphwise’s, the alternative is trying to fix the problem with unstructured data in siloed CMS and applications – in other words, Graphwise graph modeling eliminates the headaches of time, money, and resources.
Create, link and manage your taxonomies in a centralized tool.
The PoolParty Thesaurus Manager helps customers achieve the first steps needed in having structured knowledge and data management. The taxonomy ensures that data is more accessible to users, that machines can understand the hierarchy of information, and at a later point, the relations within your data.
Create and manage hierarchical taxonomies, faceted taxonomies, thesauri, classification schemes, controlled metadata term lists, and terminologies
Manage vocabularies compliant with W3C standards for vocabularies, with all SKOS features and import/export interoperability in CSV and multiple RDF serializations
Link and map multiple vocabularies across the enterprise
Customize quality settings, including for thesaurus construction guidelines, and ensure import quality with the data validator
Implement APIs to integrate with other systems
Support full multilingual vocabularies, including non-Roman scripts
Automate the process of creating a taxonomy with Generative AI.
Graphwise has introduced the PoolParty Taxonomy Advisor, our large lanaguage model (LLM)-based suggestion tool that streamlines the process of creating taxonomies. The Taxonomy Advisor promises the following:
Reliable recommendations: The LLM is connected to company documents and data so that the suggestions are domain specific and not random
Less time researching: The user still has the ability to refine or reject the Taxonomy Advisor’s suggestions, but spends less time having to outline new terms from scratch
Adding concepts: Users can select and edit from suggested narrower and related concepts
Generated concept definitions: Users can add/edit auto-generated definitions that are suggested by the Advisor
Streamlined editing: Users can add suggestions in bulk operations or singularly, depending on their preference
Add an expressive layer with ontologies and custom schemes.
Using PoolParty’s standards-based ontologies, machines can more accurately process the meaning of data based on complex business rules in an automated way. It’s with ontology creation and management that data (and not just content) is leveraged, linked, and turned into knowledge.
Extend your taxonomies with semantic relations and custom attributes
Import your data to build custom ontologies from importing spreadsheets
Easily design ontologies with with a UI that guides non-ontologists through the steps of creatinting standards-compliant ontology models
Import, reused and link from other ontologies based on open W3C standards
Enhance your thesaurus with corpus analysis.
Based on advanced text mining, our Corpus Analysis extracts candidate terms from a document or web source and automatically suggests how to include them into the existing knowledge graph. It grants knowledge architects and subject matter experts the ability to extend a taxonomy so that all “gaps” in the domain are filled.
Extract candidate terms to extend your taxonomies semi-automatically with NLP-based term extraction from content sources
Extract a high volume of concepts at once. PoolParty rates a “healthy” extraction at 1 million plus terms
Crawl various sources such as documents, pasted text, websites, rss feeds, and DBpedia
Avoid using general language in the taxonomy by scoring the corpus based on relevancy of concepts
Harvest linked data sources and create SKOS taxonomies by crawling DBpedia to generate rich seed taxonomies
Other features you’ll love:
Linked data frontend:
make all your taxonomies and ontologies accessible to others by using linked data principles
History & audit trail:
every step taken can be tracked and is traceable
Visualization:
generate new views on your taxonomy and learn from them
SPARQL endpoint:
make use of a powerful query language based on W3C standards
Lightning-fast graph database:
PoolParty is natively built on RDF graphs. No mappings, no conversions, NoSQL
Our Thesaurus Manager is prized for being user-friendly. We’re picked before others for our interface and start-up options.
Subject matter experts can start right away:
You don’t need to be an IT person or taxonomist to use PoolParty. Anyone from your team can get quickly acquainted with your software.
Drag and drop concepts in an intuitive interface:
Move or copy concepts within the taxonomy tree. The PoolParty workspace is color-coded
Import your existing work with ease:
Many of our customers have pre-existing taxonomies in things like Excel and wish to upgrade to a taxonomy management tool – PoolParty lets you migrate from your current situation to a better one with no hassle.
Various starter taxonomy options:
Most importantly, you don’t have to start from scratch. Integrate our collection of publicy-available taxonomies or ready-made industry taxonomies from our partner, WAND, to cut your work in half and revise as needed.
“I wanted a tool that would help me model my domain in a pragmatic, recognizable, and translatable thesaurus…[and with Graphwise] I could use it from the very start, almost without any help.”
Take a deep dive with an expert.
Please fill out the form to get connected with a Graphwise Team Member. Get ready for your guided walkthrough and full-access account!