Enliterator for Educators

Transform your curriculum materials into conversational knowledge systems—no coding required

A Note on "Literate Technology" vs "AI"

You might be wondering why we call this "Literate Technology" instead of AI. It's intentional and pedagogically useful.

When people hear "AI," they often get stuck on abstract (and anxiety-producing) ideas about intelligence and consciousness. But what these systems actually do well is simple: they read, write, and make sense of language.

By framing this as "Literate Technology," we focus on the practical reality: our technology can now read and write. You don't need user interfaces or code. You can ask questions, describe problems, or draft reports the same way we did before computers—by reading, writing, and talking.

This makes the value perfectly clear: literacy itself has become a computable resource. Your curriculum materials can now converse with your students.

Why Educators Need This

The Challenge in Homeland Security Education

CHDS has built an unparalleled repository of knowledge: thesis research, policy analyses, case studies, exercise reports, and curriculum materials spanning critical infrastructure protection, emergency management, cybersecurity, and counterterrorism.

Your students—homeland security professionals from across the nation—need to synthesize this vast knowledge base to address complex, multi-jurisdictional challenges.

The current reality: Students search through hundreds of PDFs manually, missing crucial connections between concepts. Faculty answer the same questions repeatedly. Cross-domain insights remain hidden.

Without Enliterator

  • Students search through PDFs manually
  • Connections between concepts stay hidden
  • Knowledge remains siloed in documents
  • You answer the same questions repeatedly
  • Cross-course insights are missed

With Enliterator

  • Students converse with your entire curriculum
  • Relationships between concepts emerge naturally
  • Knowledge becomes explorable and connected
  • Your expertise is available 24/7
  • Interdisciplinary connections surface automatically

Real CHDS Use Cases

→
Thesis Research: Upload all CHDS theses. Students can explore: "What approaches have been successful for public-private partnerships in critical infrastructure protection?"
→
Exercise Analysis: Load after-action reports. Query: "What common challenges emerge in multi-jurisdiction incident response?"
→
Policy Evolution: Track how homeland security strategies have evolved. Ask: "How has the approach to domestic terrorism changed since 2015?"

Getting Started in 10 Minutes

What You're Building

You're creating a Knowledge Navigator—think of it as a teaching assistant who has perfectly memorized all your course materials and can help students explore connections between concepts through natural conversation.

No technical skills required. If you can upload files and type questions, you can use Enliterator.

1

Upload Your Content

Start by creating an EKN and uploading your documents - PDFs, text files, spreadsheets, or any structured data. The system will automatically process and understand your content.

2

Watch the Pipeline Process

Your content flows through our 13-stage pipeline, extracting entities, discovering relationships, and building a comprehensive knowledge graph. You can monitor progress in real-time.

3

Converse with Your Knowledge

Once complete, chat with your EKN naturally. Ask questions, explore connections, and receive answers grounded in your actual data - with citations and relationship paths.

đź’ˇ What is Literate Technology?

Simply put: Instead of learning to speak computer, the computer learns to speak human.

A Practical Example

Imagine a CHDS student researching infrastructure resilience. Instead of manually searching through hundreds of documents, they simply ask: "What vulnerabilities do water treatment facilities face during cyber attacks, and what mitigation strategies have proven effective?"

The system understands the question, searches across all relevant materials, finds connections between different documents, and provides a comprehensive answer with citations—just like consulting with an expert colleague.

Why This Matters for Education

You're not replacing human expertise—you're amplifying it. Your knowledge, captured in documents and materials, becomes accessible through natural conversation. Students can explore complex topics at their own pace, faculty can focus on higher-level discussion rather than repetitive questions.

Traditional Computing

  • Learn programming languages
  • Think in computer paradigms
  • Translate ideas into syntax
  • Debug cryptic errors
  • Barrier to entry: High

Literate Computing

  • Use natural language
  • Express ideas directly
  • Receive conversational help
  • Understand through dialogue
  • Barrier to entry: None

đź”® The Enliteration Process

Enliteration transforms static data into literate technology - systems that can converse naturally about their domain.

What Makes Data "Enliterated"?

Structured

Organized into the Ten Pool Canon - universal categories that capture how humans understand domains

Connected

Relationships between entities are discovered and mapped, creating navigable knowledge paths

Conversational

Can explain not just what it knows, but why and how - with sources and reasoning paths

The Transformation

Raw Data

Pipeline

Knowledge Navigator

🏛️ How Knowledge Gets Organized

Enliterator automatically organizes your materials into ten universal categories that mirror how we naturally think about homeland security challenges.

I

Idea

Concepts, theories, principles, and abstract thoughts

CHDS Example:

"All-hazards approach" - comprehensive emergency management strategy

M

Manifest

Physical objects, tools, artifacts, and tangible creations

CHDS Example:

"Emergency Operations Center" - physical coordination facility

E

Experience

Events, observations, stories, and lived moments

CHDS Example:

"Hurricane Katrina response, August 2005"

A

Actor

People, organizations, agents, and entities that act

CHDS Example:

"FEMA Region IX Administrator"

S

Spatial

Locations, regions, coordinates, and geographic entities

CHDS Example:

"Port of Los Angeles, critical infrastructure site"

Me

Method

Processes, procedures, algorithms, and ways of doing

CHDS Example:

"Incident Command System (ICS) protocol"

View All Ten Pools (click to expand)

📚 Relational

Connections, relationships, and associations between entities

🌱 Evolutionary

Changes, transformations, and development over time

✨ Emanation

Outputs, effects, results, and emergent properties

🎯 Risk

Threats, vulnerabilities, probabilities, and uncertainties

⚙️ The 13-Stage Pipeline

Your data undergoes a systematic transformation through 13 stages (0-12), each building on the last to create a complete Knowledge Navigator.

Foundation Stages 0-3: Preparation

Stage 0: Initialize

Frame the mission and scope

Stage 1: Intake

Process and deduplicate documents

Stage 2: Rights

Assign usage permissions and provenance

Stage 3: Lexicon

Extract canonical terminology

Knowledge Stages 4-8: Infrastructure

Stage 4: Pools

Extract entities into Ten Pool Canon

Stage 5: Graph

Assemble Neo4j knowledge graph

Stage 6: Relationships

Discover semantic connections

Stage 7: Embeddings

Create vector search capabilities

Stage 8: Literacy

Score completeness (70+ to proceed)

Intelligence Stages 9-12: Conversation

Stage 9: Fine-tuning

Train domain-specific model

Stage 10: Conversational

Natural dialogue capabilities

Stage 11: Personality

Communication style calibration

Stage 12: Assembly

Final validation and launch

đź’ˇ Pro Tip: Most EKNs reach conversational capability at Stage 9. The Arctic Navigator (our first success) achieved 82/100 literacy score and is fully operational.

🎯 Using Enliterator

Creating Your First EKN

  1. 1

    Name Your Domain

    Choose a descriptive name like "Climate Research" or "Company Knowledge Base"

  2. 2

    Upload Documents

    Drag and drop PDFs, text files, CSVs, or JSON data

    Supported formats:

    .pdf .txt .csv .json .md .docx
  3. 3

    Configure Rights

    Set whether content can be published or used for training

  4. 4

    Start Pipeline

    Click "Process" and watch your EKN come to life!

Chatting with Your EKN

Ask Natural Questions

Your EKN understands context and nuance:

âś“

"What are the main themes in our research?"

âś“

"How does Arctic ice loss relate to global weather patterns?"

âś“

"Show me connections between temperature data and wildlife observations"

Get Grounded Responses

Every answer includes:

  • Citations to source documents
  • Entity references you can explore
  • Relationship paths through the knowledge graph
  • Confidence indicators

Exploring Your Knowledge Graph

Entity Browser

Navigate through all extracted entities, filter by pool type, and see how each connects to others.

Relationship Explorer

Discover semantic connections between entities and understand the pathways through your knowledge.

Source Tracking

Trace any entity back to its original document and see what other entities came from the same source.

Analytics Dashboard

View statistics about your knowledge graph, including coverage, density, and literacy scores.

🌟 Live Examples

Test EKN 1755218279476

This is a test EKN created by automated testing.

🚀 1 pipeline runs 📊 1 batches 📅 Created August 2025

Arctic Research Navigator

An intelligent knowledge navigator for Arctic research, strategy, and geopolitics. Specializes in analyzing Arctic policies, security implications, resource development, climate impacts, and multi-national strategic approaches across the circumpolar north. Built from academic and governmental research covering US, Russian, Chinese, Canadian, and Nordic Arctic strategies.

🚀 9 pipeline runs 📊 1 batches 📅 Created August 2025

🏆 The Arctic Navigator

Our first successfully completed EKN - a comprehensive Knowledge Navigator for Arctic research with 712 entities, 229 relationships, and full conversational capabilities.

âť“ Frequently Asked Questions

How is this different from ChatGPT or other chatbots?

ChatGPT and similar tools answer from their general training. Enliterator answers exclusively from YOUR materials. When a student asks about emergency management protocols, they get answers from your specific curriculum, case studies, and research—not generic internet knowledge. Every answer includes citations to your actual documents.

Do I need to understand the technical details?

Not at all. The system handles all the technical complexity automatically. You simply upload your documents and start asking questions. It's designed for educators and researchers, not programmers. If you can use email and upload files, you can use Enliterator.

How much data do I need?

Quality matters more than quantity. A focused collection of 20-50 documents in a specific domain can create a highly effective EKN. The Arctic Navigator was built from just 25 research documents but achieved an 82/100 literacy score.

Is my data secure?

Yes. Enliterator includes comprehensive rights management from the ground up. You control whether content can be published, used for training, or kept completely private. All processing respects these settings throughout the pipeline.

Can my students access this from home?

Yes. Once you create a Knowledge Navigator from your materials, it's accessible via web browser from anywhere. You control who has access—make it available to just your class, all CHDS students, or even the public for broader educational impact.

Will this replace me as an educator?

Absolutely not. This amplifies your expertise, it doesn't replace it. Think of it as giving each student a research assistant who has memorized all your materials. You still guide the learning journey, facilitate discussions, and provide the critical thinking that only human educators can offer. This just handles the repetitive "where can I find..." questions so you can focus on deeper engagement.

Ready to Enliterate Your Knowledge?

Join the revolution in literate technology. Create your first Knowledge Navigator today.

Enliterator

Transforming data into conversational knowledge through the power of literate technology.

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© 2025 Enliterator. Built with Rails, Neo4j, and OpenAI.

"The conversation has begun. Our language has always shaped our reality—what new worlds become possible now that our tools truly understand us?"