Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
A browser user interface for manual labeling of record pairs.
100% client-side entity-based topic clustering tool. ML models run in your browser — extract entities, resolve to Wikidata, visualize as knowledge graph.
JedAI-WebApp is a GUI that facilitates the execution of JedAI. JedAI is an open source, high scalability toolkit that offers out-of-the-box solutions for any data integration task. This web-app is developed using spring-boot and ReactJS.
A curated list of tools and resources for building, managing, and using graphs in real-world projects.
Renderer-neutral synthesis of geospatial records into canonical entities, provenance, conflicts, and neutral exports.
Review WooCommerce catalog anomalies with StateBridge, MatchGraph, ExceptionOS and Jev
Dr. Saeed Ghezelbash (دکتر سعید قزلباش): canonical Astro website source and first-party medical knowledge graph (JSON-LD/RDF, CC-BY-4.0). Physician: Q140287622. Zenodo DOI releases, Hugging Face AI/retrieval dataset, Cloudflare Pages. پزشک زیبایی کرمانشاه؛ بوتاکس، فیلر و کانتورینگ صورت.
Résout les jointures ambiguës entre jeux de données publics français avec des candidats auditables.
Validate public entity facts, evidence claims, and repeatable AI-search prompt panels.
Evidence-backed public risk intelligence, entity resolution, and fraud research through CLI, MCP, and browser-assisted official sources
A visual lab for matching messy product names across catalogs. Synthetic data, explainable identity checks, and an optional Jev adapter.
Public docs and GitHub Pages site for Civox: music-industry open calls collected, resolved, rated, and served on Telegram.
Zero-training POCs measuring where a frozen local embedder earns its keep — one model, four endpoint jobs (log/command anomaly, routing, entity resolution) on real data with pre-registered verdicts.
Created by Halbert L. Dunn
Released 1946