Date of Award
9-4-2015
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Information Science
First Advisor
John Talburt
Abstract
This research describes the design of an identity resolution service (IRS), which provides extensions and enhancements to the current EIIM model. The IRS provides a set of application programming interfaces (API) which allow identity resolution (IR) to be performed interactively. Interactive IR is a logical extension to the existing EIIM model. It will separate the IR function from the EIIM batch update process. The new (IR) function: 1) Operates interactively 2) Has its own probabilistic matching rules defined separately from the identity rules used in the EIIM update process 3) Has the ability to return a confidence rating alongside a selected entity identifier to provide a level of priority or confidence for the identity The set of APIs can be invoked by applications from multiple remote client EIIM systems allowing them to retrieve identity information. The IRS also allows these client systems to receive updates when a backend EIIM process causes an update to an EIS. By developing this IRS, client systems are able to decouple and separate their identity management rules and processes from other business rules and processes.
Recommended Citation
Kobayashi, Fumiko, "A Design for an Identity Resolution Service as an Extension of the Entity Identity Information Management Model" (2015). Theses and Dissertations. 623.
https://research.ualr.edu/etd/623
