- Introduction
- Guides & Tutorials
- WHG Staff
- Technical
- 1. Repositories
- 2. APIs
- 2.1. Entity API
- 2.2. Reconciliation Service API
- 2.2.1. What This Service Is For
- 2.2.2. Reconciliation Endpoints
- 2.2.3. The Query Model
- 2.2.4. Batching, Quotas and Retries
- 2.2.5. Query Parameters
- 2.2.6. Source Namespaces
- 2.2.7. Result Format
- 2.2.8. Interpreting
confidence - 2.2.9. Deciding Whether a Result Is Ambiguous
- 2.2.10. Filter Behaviour and Common Pitfalls
- 2.2.11. Geometry Recovery When the Top Hit Has No Centroid
- 2.2.12. Data Extension Properties
- 2.2.13. Using the WHG Reconciliation API in OpenRefine
- 2.3. Source Terms and Attribution
- 2.4. API Tokens
- 3. Issues
- Development Roadmap
- 1. v3.3: Collaborative Workbench
- 1.1. Map your Data
- 1.1.1. What it is
- 1.1.2. Why a new tool
- 1.1.3. Getting started
- 1.1.4. 1 · Import a dataset
- 1.1.5. 2 · Confirm column roles
- 1.1.6. 3 · Reconcile against WHG
- 1.1.7. 4 · Review & confirm matches
- 1.1.8. 5 · Map
- 1.1.9. 6 · That’s a gazetteer — enrich & export
- 1.1.10. 7 · Collaborate & share
- 1.1.11. Caveats
- 1.2. Collaborative Collections
- 1.2.1. What it is
- 1.2.2. Starting a new document
- 1.2.3. Finding your material — “Edit published…”
- 1.2.4. The editor at a glance
- 1.2.5. Building a Place Collection
- 1.2.6. Building an Itinerary
- 1.2.7. Building a Gazetteer Group
- 1.2.8. Editing something already published
- 1.2.9. Collaborating
- 1.2.10. A note on names
- 1.2.11. How this relates to the older builders
- 1.3. Beta Testing Plan
- 1.1. Map your Data
- 2. Atlas: Discovering Linked Places
- v3.5: Toponym Phonetics
- 1. Overview
- 2. Elastic Management Guide
- 2.1. Table of Contents
- 2.2. Architecture Overview
- 2.3. Installation
- 2.4. Configuration
- 2.5. Storage Architecture
- 2.6. Production Instance (VM)
- 2.7. Staging Instance (Slurm)
- 2.8. Authority Data Ingestion
- 2.9. Index Management
- 2.10. Snapshot Management
- 2.11. Production Deployment
- 2.12. Health Monitoring
- 2.13. Troubleshooting
- 2.14. Quick Reference
- 3. Infrastructure Summary
- 4. Components
- 5. Data Flow
- 6. Elasticsearch Index Design
- 7. Training the Phonetic Similarity Model
- 8. Query Pipeline
- 9. Advantages of This Architecture
- 9.1. Two-Instance Isolation
- 9.2. Unified Infrastructure
- 9.3. Scalable Storage Tiers
- 9.4. Zero-Downtime Deployments
- 9.5. Flexible Embedding Generation
- 9.6. Toponym Deduplication
- 9.7. Efficient Phonetic Search
- 9.8. Graceful Degradation
- 9.9. Unified Search Across Sources
- 9.10. Maintainability
- 9.11. Research Reproducibility
- 10. Monitoring & Observability
- 11. Future Extensions
- 12. Deployment Plan
- 13. Risk Assessment
- 14. Success Criteria
- 15. Summary & References
- V4: Graph Datamodel
- 1. v3.3: Collaborative Workbench
- License