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Resources and Information on Ontologies

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  • Why this server?

    Enables exploration and analysis of RDF Turtle Knowledge Graphs, which are closely related to ontologies.

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    The Model Context Protocol (MCP) server provides a conversational interface for the exploration and analysis of RDF Turtle Knowledge Graph in Local File mode or SPARQL Endpoint.
    Last updated
    53

  • Why this server?

    Enhances the MCP memory server by implementing PouchDB and enabling the creation and management of a knowledge graph, which utilizes ontological principles.

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    Enhances the MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models.
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    MIT

  • Why this server?

    Helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to knowledge organization, a function related to ontology creation.

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    A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.
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    MIT

  • Why this server?

    Allows AI models to query and interact with FalkorDB graph databases, which are used to represent knowledge and relationships in a structured manner similar to ontologies.

  • Why this server?

    An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands; graph databases can be used to store and query information structured using ontological principles.

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    An MCP server that enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.
    Last updated