Semantic Information Server

World

  • Paramus World is a LLM-driven physical objects representation store, based on knowgledge graph (KG).
  • The system is able to learn and update itself from several information sources and text.
  • World autonomously model complex relationships and provide context to LLMs.
  • Paramus World observes information flow and takes conclusions what to add to the graph.

Pricing, Download and install

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One-click dataset installation


Example: Google Mail Semantic Connector

1.) Email arrives

2.) Then one-shot ‘Translated’ into …

1. Physical Entities (categorized by type):

   - People:
       - Dr. Thorsten Gressling
   - Organizations/Companies:
       - Gressling.com
   - Locations, addresses, places:
       - Lab 131
   - Products, devices, equipment:
       - Systag Reactor
   - Physical objects, materials, substances:
       - Aspirin (Substance)
       - Sulfuric Acid (Substance)

2. Relationships between entities:

   - Dr. Thorsten Gressling is part of 
     Gressling.com (relationship: partOf)
   - Dr. Thorsten Gressling uses 
     the Systag Reactor (relationship: uses)
   - The Systag Reactor is contained 
     in Lab 131 (relationship: contains)
   - The Aspirin synthesis involves 
     Sulfuric Acid (relationship: involves)
   - The Aspirin synthesis is conducted 
     in Lab 131 (relationship: conductedIn)

3. Key insights about the physical world mentioned in these emails:

   - Dr. Thorsten Gressling is conducting 
     an experiment involving the synthesis of Aspirin 
     catalyzed by Sulfuric Acid.
   - The experiment will be conducted using a Systag 
     Reactor located in Lab 131.

3.) And added to the semantic WORLD database.

4. Result

Chat: "How many reactors we have" - Answer: "There is one reactor in Lab 131"


Integrated JSON-RPC API

  • Secure Authentication: JWT Bearer tokens with rate limiting
  • JSON-RPC 2.0 Protocol: Full specification compliance
  • World Integration: API methods have access to world data
  • Available Methods:
    • chat.submit: Submit messages with world context
    • sparql.query: Execute SPARQL SELECT queries
    • sparql.update: Execute SPARQL UPDATE operations
    • system.health: Get server status and health

FAQ

What is the Paramus World knowledge graph?

An RDF-based semantic knowledge graph that stores chemical entities, substances, equipment, people, and experimental data as linked triples. It supports SPARQL queries and provides 120+ JSON-RPC methods across 16 namespaces.

What chemistry datasets are available in Paramus World?

13 datasets including BigSolDB (48,058 solvation free energies), QM9 (133,885 molecules), MaterialsProject (154,718 crystals), ChEMBL (2.4M compounds), ZINC20 (1.4B drug-like molecules), PubChem, PDBe, AFLOW, NOMAD, DrugBank, Tox21, COD, and PolymerGenome.

What semantic databases does Paramus World include?

Three pre-built research databases: polymer chemistry, medicinal chemistry, and germanium extraction. Each contains curated ontologies and domain-specific knowledge.

Is Paramus World free?

Yes. The World module is included in the free tier of Paramus Chemistry OS. Dataset installation and SPARQL queries are available without a paid license.

How does Paramus World integrate with AI assistants?

Through the Model Context Protocol (MCP). AI assistants like Claude and ChatGPT can query the knowledge graph, manage entities, install datasets, and run SPARQL queries using 120+ tool endpoints.

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