A User Modeling Markup Language (UserML) for Ubiquitous Computing

Heckmann, Dominik; Krueger, Antonio

doi:10.1007/3-540-44963-9_55

Cited by 52 publications

(23 citation statements)

References 4 publications

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“…A common standard of infrastructure, data structure and user model modules would ease the implementation and evaluation of novel ideas and allow researchers to focus on specific research questions while evaluating them in a common environment. As for architecture, user models should be separated from the applications, thus enabling external, standard user modeling components to use and re-use personal data (Kobsa, 2001) or using standard ontologies such as GUMO (Heckmann et al, 2005) and communicating in standard protocols such as UserML (Heckmann and Krüger, 2003). Moreover, standard architectures (such as the multi-agents architecture suggested in PEACH) may allow cultural heritage application developers to focus on developing their specific application while re-using existing infrastructure.…”

Section: Standards To Reach Critical Massmentioning

confidence: 99%

Personalization in cultural heritage: the road travelled and the one ahead

Ardissono

Kuflik

Petrelli

2011

User Model User-Adap Inter

196

107

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Section: Standards To Reach Critical Massmentioning

confidence: 99%

Personalization in cultural heritage: the road travelled and the one ahead

Ardissono

Kuflik

Petrelli

2011

User Model User-Adap Inter

196

107

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“…Notice that, according to the specific application scenario, some issues could be more or less critical. For example, the issue related to user identification is less relevant if the applications have a common identification system, if the identification is carried out by a client-side agent or, finally, if a User Model Server is used to share user models (e.g., Heckmann and Krüger 2003;Mehta et al 2005;Henze 2005).…”

Section: Strong Semantic Techniquesmentioning

confidence: 99%

“…The proposal of a general reference ontology for modeling users comes from Heckmann and Krüger (2003), who defined a General User Model Ontology, GUMO, to represent the user model in a ubiquitous environment in a standard way. To this aim they introduce the definition of situational statements.…”

Section: Strong Semantic Techniquesmentioning

confidence: 99%

Adaptive systems in the era of the semantic and social web, a survey

Torre

2009

User Model User-Adap Inter

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In this paper we provide a classification of adaptive systems with respect to the kind of semantic technology they exploit to accomplish or improve specific adaptation and user modeling tasks. This classification is based on a distinction between strong semantic techniques and weak semantic techniques. The former are techniques based on the Semantic Web, while the latter regard technologies that, in different ways, annotate resources, enriching their meaning. This second category includes, in particular, Web 2.0 social annotations and mixed approaches between social annotations and Semantic Web techniques. While the impact of the Semantic Web on adaptive systems has been discussed in several survey papers, the potential of weak semantic technologies has, so far, received little attention. The aim of this analysis is to fill this gap. Therefore, we will discuss contributions and limits of both approaches, but we will focus special attention on weak semantic adaptive systems.

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“…A language specifically defined for UM interoperability is UserML (Heckmann and Krüger 2003), a RDF-based unified user model exchange language, which enables decentralized systems to support the share of user model data among different applications in a ubiquitous context. UserML includes the sublanguage UserQL, which defines the queries in URI format that can be sent via the "get method" to the server which stores the user model data.…”

Section: Protocols For Communicationmentioning

confidence: 99%

User model interoperability: a survey

Carmagnola

Cena

Gena

2011

User Model User-Adap Inter

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Nowadays a large number of user-adaptive systems has been developed. Commonly, the effort to build user models is repeated across applications and domains, due to the lack of interoperability and synchronization among user-adaptive systems. There is a strong need for the next generation of user models to be interoperable, i.e. to be able to exchange user model portions and to use the information that has been exchanged to enrich the user experience. This paper presents an overview of the wellestablished literature dealing with user model interoperability, discussing the most representative work which has provided valuable solutions to face interoperability issues. Based on a detailed decomposition and a deep analysis of the selected work, we have isolated a set of dimensions characterizing the user model interoperability process along which the work has been classified. Starting from this analysis, the paper presents some open issues and possible future deployments in the area.

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A User Modeling Markup Language (UserML) for Ubiquitous Computing

Cited by 52 publications

References 4 publications

Personalization in cultural heritage: the road travelled and the one ahead

Personalization in cultural heritage: the road travelled and the one ahead

Adaptive systems in the era of the semantic and social web, a survey

User model interoperability: a survey

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