Graph Modeling
Leverage our award-winning taxonomy and ontology management tool to transform siloed content into an integrated architectural layer ready for AI agents
Without a centralized semantic backbone and taxonomy management tool, companies get stuck fixing data problems inside siloed CMS and applications. This is a “data tax” on your time and money. Graphwise automates this architectural layer, ensuring your data is clean and ready for AI agents without manual effort.
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.
Create, link and manage your taxonomies in a centralized tool
Graphwise Graph Modeling is the foundational architectural layer of the Graphwise platform. It automates the transition from messy data to structured infrastructure, ensuring data is more accessible to users, and machines can understand the hierarchy of information and the relations within your data.
Create the logical structure of your business, including hierarchical, faceted taxonomies, thesauri, classification schemes, controlled metadata term lists, and terminologies
Build on global 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, with built-in data validators and guidelines, ensuring high-quality inputs for your AI models
Implement APIs to integrate with other systems
Support full multilingual vocabularies, including non-Roman scripts
Automate the process of creating a taxonomy with our Taxonomy Advisor
The PoolParty Taxonomy Advisor uses LLMs and GenAI to streamline the process of creating taxonomies, eliminating the bottleneck of manual modeling and ensuring domain-specific facts instead of generic AI guesses.
Precise, domain-specific recommendations: The LLM is grounded in your own company documents and data
Human-in-the loop control: The tool automates the discovery of new terms while allowing users to refine/reject suggestions
Adding AI-suggested concepts: Users can select and edit from suggested narrower and related concepts
Streamlined bulk operations: Users can update single terms or entire knowledge branches instantly
Add an expressive logic layer and custom schemes
Through our ontology management functionality you can encode your specific business logic in your company infrastructure. In this way machines can more accurately process the meaning of data, turning simple content into actionable knowledge.
Define how concepts relate so your AI can solve complex problems, not just find keywords
Rapidly import legacy spreadsheets with existing business rules and data structures
Empower Subject Matter Experts (SMEs) to built IT infrastructure without coding
Link your custom logic with global W3C standards to ensure global interoperability
Enhance continuous knowledge discovery
The Poolparty Corpus Management functionality scans unstructured sources to identify new terms, ensuring your infrastructure is aligned with evolving domain knowledge.
Use NLP-driven workflows to extract new terms and concepts within your content sources
Scale your infrastructure effortlessly by extracting a high volume of concepts (e.g. 1M) at once
Connect various sources such as documents, pasted text, websites, rss feeds, and DBpedia
Avoid using general language in the taxonomy by scoring the concepts based on relevance, maintaining a logic layer
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 via linked data principles
History & audit trail
every step taken is fully tracked and traceable
Visualization
generate new views on your taxonomy and learn from them
SPARQL endpoint
use powerful, W3C-standard query language to interact with your data infrastructure
Lightning-fast graph database
Built on RDF graphs. No mappings, no NoSQL conversions required
Our user-friendly, intuitive tool with accelerated infrastructure deployment
Designed for the business user
Subject Matter Experts (SMEs) can start right away and anyone in the team can get quickly acquainted with your software.
Intuitive interface & control
The workspace is color-coded, with a drag-and-drop interface allowing you to manage the logic layer with visual clarity.
Seamless migration
Migrate your existing legacy Excel taxonomies into our integrated platform with hassle.
Rapid start-up options
Don’t start from scratch. Use our library of pre-built industry taxonomies to cut your implementation time in half.
“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.”
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