PoolParty Semantic Suite

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PoolParty Semantic Suite in a Nutshell

Knowledge Engineering & Semantic Graph Management

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Taxonomy Management

Start building your knowledge graph

With the PoolParty Thesaurus Manager you can build standards-based knowledge models. The user-friendly tool enables subject matter experts to establish an enterprise taxonomy infrastructure.

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Ontology
Management

Structure your digital assets

Ontology management is an advanced approach of knowledge modelling. PoolParty enables your knowledge engineer to build highly customized knowledge models for your cognitive applications.

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Linked Data Management

Make your data actionable

Use existing data resources and integrate them into your digital knowledge environment. Linked Data accelerates your knowledge engineering.

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Content Enrichtment & Data Integration

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Semantic Concept Tagging

Classify and annotate your data

Highly consistent metadata is the foundation of excellent search and personalization services. Concept tagging enriches your data automatically based on your knowledge models.

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Text Mining

Profit from entity extraction

80% of data is unstructured and has tremendous potential for business innovation. PoolParty lets you extract meaning from your document repositories easily and fast.

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Agile Data Integration

Interlink your data semi-automatically

Transform different data formats into RDF and utilize it for your semantic application. The PoolParty ETL tool UnifiedViews enables you to  create customized data processing pipelines.

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Data Portals & Collaboration Platforms

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Semantic Search

Stop searching, start finding

PoolParty has everything you need to build your semantic search portal including a ready-to-use and highly configurable graphical user interface. The semantic search portal also includes analytical tools.

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Recommender System

Personalize the user experience

This PoolParty module allows you to implement, improve and increase the precision of recommendation engines. Your digital assistants and services don't remain black boxes, but can be adapted and trained.

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Analytics and Visualization

Gain deep insights from complex data

Data analytics based on relational databases have their limits. Start working with graph technologies and establish a contextualized data infrastructure. With the data format RDF and query language SPARQL, you can turn your data upside down.

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Free PoolParty Academy Training

Register for the free Semantic Web Training.

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