Semantic Integration of Identity Data Repositories

Abstract. With the continuously growing number of distributed and heterogeneous IT systems there is the need for structured and efficient identity management (IdM) processes. This implies that new users are created once and then the information is distributed to all applicable software systems same as if changes on existing user objects occur. The central issue is that there is no generally accepted standard for handling this information distribution because each system has its own internal representation of this data. Our approach is to give a semantic definition of the digital user objects’ attributes to ease the mapping of an abstract user object to the concrete instantiation of each software system. Therefore we created an ontology to define the mapping of users’ attributes and an architecture which enables the semantic integration of identity data repositories. Our solution has been tested and tried in an implementation case study.

• Type: Conference
• Year: 2007
• Where: KIVS
• Authors: Christian Emig, Kim Langer, Jürgen Biermann, Sebastian Abeck
• Keywords: Computer Networks, Efficient Identity Management, KIVS 2007, Software System, User Object