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OYSTER stands for Open sYSTem Entity Resolution, a project to build a configurable, open-source entity resolution engine.

Identifying aliases is an important component of the criminal justice system. Accurately identifying a person of interest or someone who has been arrested can significantly reduce the costs within the entire criminal justice system. This paper examines the problem domain of matching and relating identities, examines traditional approaches to the problem, and applies the identity resolution approach described by Jeff Jonas and relationship awareness to the specific case of client identification for the indigent defense office. The combination of identify resolution and relationship awareness offered improved accuracy in matching identities

Further work building on Jeff Jonas' "data finds data", and his his article in IEEE Security and Privacy entitled "Threat and Fraud Intelligence, Las Vegas Style"

Matching and relating identities is of the utmost importance for Las Vegas casinos. The author describes a specific matching technique known as identity resolution. This approach provides superior results over traditional identity matching systems.

High flair, non academic case for semantic reconciliation and indexing. No tech detail, but clear and useful principles.

Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to easily develop a wide range of AI applications, including: * Collective classification * Link prediction * Entity resolution * Social network modeling * Information extraction