ontology-database

Manage typed knowledge graphs with entity CRUD and schema validation.

4.6k|161|Updated Oct 1, 2022
One-click install
npx skills add https://github.com/x-cmd/x-cmd --skill ontology-database
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ontology-database
Source: https://github.com/x-cmd/x-cmd/tree/main/mod/skill0/lib/skill0/skills/ontology-database
Command: npx skills add https://github.com/x-cmd/x-cmd --skill ontology-database

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the need for managing and querying typed knowledge graphs, offering capabilities for entity CRUD, directed relations, schema validation, and multi-hop reasoning.

Core Features & Use Cases

  • Entity CRUD: Create, read, update, and delete entities within the knowledge graph.
  • Directed Relations: Establish and manage directed relationships between entities.
  • Schema Validation: Enforce a schema to maintain data integrity and consistency.
  • Multi-hop Reasoning: Perform multi-hop reasoning on the graph.
  • Use Case: Imagine you have a knowledge graph representing a company's employees, their roles, and their projects. Use this Skill to create new employee entries, link employees to their projects, and validate the schema for data consistency.

Quick Start

Initialize a new ontology database and add an entity for a new employee.

x ondb add --type Person --name Alice

Frequently Asked Questions about ontology-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage typed entities and directed relations in a knowledge graph?

You can manage typed knowledge graphs by performing entity CRUD and directed relation operations using a TSV append-only log. This approach maintains typed entities and their relationships while enforcing schema validation for data integrity.

What is multi-hop reasoning and how does it work for knowledge graph queries?

Multi-hop reasoning traverses directed relations across multiple entities in a knowledge graph to infer connections. It queries the TSV append-only log to discover paths between entities, enabling complex relationship discovery beyond direct links.

How do I add and link entities in a knowledge graph schema?

Add entities by specifying a type and name, then establish directed relations between them. Schema validation enforces data consistency during creation, ensuring typed entities and their relationships conform to the defined knowledge graph structure.

Do I need SQLite or Python to interact with a knowledge graph append-only log?

You need awk, Python, JS, or SQLite to interact with the typed knowledge graph. These tools process the TSV append-only log, enabling entity CRUD, directed relation management, and multi-hop reasoning operations.

Does schema validation work with entity CRUD operations in a knowledge graph?

Schema validation enforces data integrity and consistency during entity CRUD operations in the knowledge graph. It checks typed entities and directed relations against the schema, preventing structural inconsistencies in the append-only log.

What are the limitations of using a TSV append-only log for knowledge graph management?

Using a TSV append-only log for knowledge graph management means interactions require awk, Python, JS, or SQLite. It is optimized for entity CRUD and directed relations but may lack native transactional rollback features found in full graph databases.