Skip to main contentQuran Knowledge Graph Overview
The Quran Knowledge Graph is a powerful way to represent and explore the rich interconnections within the Quran. This page explains what the knowledge graph is and how it helps users discover insights in the Quranic text.
What is a Knowledge Graph?
A knowledge graph is like a digital map that shows how different pieces of information are connected. Instead of just storing facts in separate tables or lists, a knowledge graph represents information as:
- Nodes (circles in the diagram): These represent entities like verses, words, concepts, or scholars
- Relationships (lines in the diagram): These show how the entities are connected to each other
This structure makes it possible to ask complex questions and discover connections that might not be obvious at first glance.
The Quran as a Knowledge Graph
The Quran is perfectly suited to be represented as a knowledge graph because:
- It has natural internal connections - verses reference each other, stories continue across chapters, and themes recur throughout the text
- Words and concepts are deeply interconnected - Arabic root words create networks of related meanings
- Scholarly interpretations add layers of meaning - tafsir and commentaries connect verses to explanations and contexts
- Historical and contextual information enriches understanding - asbab al-nuzul (reasons for revelation) connect verses to historical events
What’s in the Quran Knowledge Graph?
Our knowledge graph includes:
Quranic Text Entities
- Surahs (chapters) with their names, revelation context, and themes
- Verses with their text in Arabic and translations
- Words with their grammatical properties and root words
- Root words with their range of meanings and occurrences
Conceptual Entities
- Topics like patience, gratitude, prayer, etc.
- Stories of prophets and historical events
- Rulings related to Islamic law and practice
- Concepts like the afterlife, divine attributes, etc.
Scholarly Resources
- Tafsir (interpretations) from classical and contemporary scholars
- Hadith (prophetic sayings) related to verses
- Linguistic analyses of words and phrases
- Thematic studies connecting related verses
How the Knowledge Graph Powers Search and Discovery
When you interact with Quran AI, the knowledge graph works behind the scenes to:
- Understand your question by mapping it to relevant concepts and entities
- Find connected verses by traversing relationships in the graph
- Discover relevant context by exploring connected scholarly resources
- Identify thematic patterns by analyzing clusters of connected verses
Example: Searching for “Patience”
When you search for “patience,” the system:
- Identifies the concept of patience in the graph
- Finds verses directly connected to this concept
- Discovers related concepts like “perseverance” and “steadfastness”
- Retrieves scholarly explanations about patience
- Presents a comprehensive view of how the Quran addresses patience
Beyond Simple Search
The knowledge graph enables capabilities beyond simple keyword search:
- Thematic exploration - discover how themes develop across the Quran
- Linguistic analysis - explore how words and their roots are used
- Contextual understanding - see verses in their historical and textual context
- Conceptual mapping - understand how different concepts relate to each other
Non-Technical Explanation of How It Works
Think of the Quran Knowledge Graph like a vast library where:
- Every book (verse) is connected to related books
- Every word is linked to its family of related words
- Expert librarians (scholarly resources) have added notes connecting ideas
- There’s a smart assistant who knows all these connections and can guide you
When you ask a question, the assistant doesn’t just look for books with those exact words, but understands what you’re looking for and navigates the connections to find the most relevant information.
For more detailed information about the structure of the knowledge graph, see the Schema page. 
