Addressing challenges of Ubiquitous User Modeling: Between mediation and semantic integration

Shlomo Berkovsky, Dominikus Heckmann, Tsvi Kuflik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Ubiquitous User Modeling aims at providing personalized services to inhabitants of smart environments. Current research in ubiquitous user modeling focuses on two directions. The first is a practical approach that tries to resolve current problems of sparseness of data and heterogeneity of user modeling techniques and representations by mediation of user models or building hybrid systems. The second approach is based on semantic standardization of user modeling enabling user modeling data exchange and sharing by using a common user modeling ontology and language. Although both approaches have their limitations, their integration has the potential to leverage their advantages and overcome the limitations. This paper discusses initial work done in this direction, suggests a path for such integration, and points out research directions aimed at bridging the gap between these approaches.

Original languageEnglish
Title of host publicationAdvances in Ubiquitous User Modelling, Revised Selected Papers
EditorsTsvi Kuflik, Shlomo Berkovsky, Francesca Carmagnola, Dominikus Heckmann, Antonio Kruger
Pages1-19
Number of pages19
DOIs
StatePublished - 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5830 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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