Paper Info
Title
Multi-application profile updates propagation: a semantic layer to improve mapping between applications
Abstract
In the field of multi-application personalization, several techniques have been proposed to support user modeling for user data management across different applications. Many of them are based on data reconciliation techniques often implying the concepts of static ontologies and generic user data models. None of them have sufficiently investigated two main issues related to user modeling: (1) profile definition in order to allow every application to build their own view of users while promoting the sharing of these profiles and (2) profile evolution over time in order to avoid data inconsistency and the subsequent loss of income for web-site users and companies. In this paper, we conduct work and propose separated solutions for every issue. We propose a flexible user modeling system, not imposing any fixed user model whom different applications should conform to, but based on the concept of mapping among applications (and mapping functions among their user attributes). We focus in particular on the management of user profile data propagation, as a way to reduce the amount of inconsistent user profile information over several applications. A second goal of this paper is to illustrate, in this context, the benefit obtained by the integration of a Semantic Layer that can help application designers to automatically identify potential user attribute mappings between applications. This paper so illustrates a work-in-progress work where two complementary approaches are integrated to improve a main goal: managing multi-application user profiles in a semi-automatic manner.
Year
DOI
Venue
2012
10.1145/2187980.2188228
WWW (Companion Volume)
Keywords
Field
DocType
potential user attribute mapping,semantic layer,user modeling,user attribute,user profile data propagation,multi-application user profile,fixed user model,flexible user modeling system,user data management,inconsistent user profile information,generic user data model,multi-application profile,data model,user model,data management,work in progress
Data mining,Data modeling,World Wide Web,Application profile,User profile,Computer science,User modeling,User interface,User interface design,User requirements document,Personalization
Conference
Citations 
PageRank 
References 
2
0.39
15
Authors
5
Name
Order
Citations
PageRank
Nadia Bennani15613.91
Max Chevalier29421.63
Elöd Egyed-zsigmond38716.64
Gilles Hubert46918.81
Marco Viviani514318.95