An Evidence-Based Approach to Handle Semantic Heterogeneity in Interoperable Distributed User Models

Authors:
Francesca Carmagnola;Vania Dimitrova
Affiliations:
Department of Computer Science, University of Turin, Italy;School of Computing, University of Leeds, UK
Venue:
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Year:
2008

Citing 6
Cited 5

Introduction to the Special Issue on Empirical Evaluation of User Models and User Modeling Systems

User Modeling and User-Adapted Interaction
Introduction to the special issue on word sense disambiguation: the state of the art

Computational Linguistics - Special issue on word sense disambiguation
Integrating heterogeneous adaptation techniques to build a flexible and usable mobile tourist guide

AI Communications
Mediation of user models for enhanced personalization in recommender systems

User Modeling and User-Adapted Interaction
A Semantics-Based Dialogue for Interoperability of User-Adaptive Systems in a Ubiquitous Environment

UM '07 Proceedings of the 11th international conference on User Modeling
Gumo: the general user model ontology

UM'05 Proceedings of the 10th international conference on User Modeling

Tackling HCI challenges of creating personalised, pervasive learning ecosystems

EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
Semantic representation and management of student models: an approach to adapt lecture sequencing to enhance learning

MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
User model interoperability: a survey

User Modeling and User-Adapted Interaction
Creating personalized systems that people can scrutinize and control: Drivers, principles and experience

ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Utilizing user tag-based interests in recommender systems for social resource sharing websites

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Nowadays, the idea of personalization is regarded as crucial in many areas. This requires quick and robust approaches for developing reliable user models. The next generation user models will be distributed (segments of the user model will be stored by different applications) and interoperable (systems will be able to exchange and use user model fractions to enrich user experiences). We propose a new approach to deal with one of the key challenges of interoperable distributed user models - semantic heterogeneity. The paper presents algorithms to automate the user model exchange across applications based on evidential reasoning and advances in the Semantic Web.