Gumo – The General User Model Ontology

Heckmann, Dominik; Schwartz, Tim; Brandherm, Boris; Schmitz, Michaël; Wilamowitz-Moellendorff, Margeritta von

doi:10.1007/11527886_58

Cited by 251 publications

(146 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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“…Furthermore, the user modeling component allows for advanced querying of such UserRDF statements via a corresponding lightweight query language, which is called UserQL. Figure 6 lists the properties of an UserRDF statement, which is defined in the User Modeling Ontology (see Statement class within Figure 7), an ontology which is modeled on the General User Modeling Ontology (GUMO) [Heckmann et al, 2005]. The properties can be grouped into the following five different blocks.…”

Section: User Modeling Servicementioning

confidence: 99%

Personalization for the Semantic Web

2005

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In this deliverable we describe a fully functional, Web Service-based framework -the Personal Reader Framework -for designing, developing and maintaining personalized information systems, with many realized application and demonstrators. Various Personalization Services are available in these demonstrators, which offer personal news recommendations, personal music recommendations, suggest study plans to students, annotate learning resources with relevant contextual information (exercises, quizzes, examples, summaries). Privacy protection is ensured by a centralized user modeling service. Access to user profile information is protected by userspecified policies.Keyword List semantic web, reasoning, personalization, user modeling, trust, access control, policies, personal reader Abstract In this deliverable we describe a fully functional, Web Service-based framework -the Personal Reader Framework -for designing, developing and maintaining personalized information systems, with many realized application and demonstrators. Various Personalization Services are available in these demonstrators, which offer personal news recommendations, personal music recommendations, suggest study plans to students, annotate learning resources with relevant contextual information (exercises, quizzes, examples, summaries). Privacy protection is ensured by a centralized user modeling service. Access to user profile information is protected by userspecified policies.

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“…In this ontology the information is modelled in terms of user model dimensions. A user model dimension is divided into three parts: Auxiliary, Predicate and range [7], e.g the user's low interest in football would be represented by the Auxiliary "has interest", the Predicate "football" and the Range "low" [6]. After its creation, this ontology was included into the UbisWord Ontology (see below).…”

Section: Analysis Of External Relevant Ontologiesmentioning

confidence: 99%

The User Model, Vocabulary and Logical Architecture for Adaptive Augmented Reality

Tenemaza

Jiménez

Ramírez

2015

Proceedings of the Latin American Conference on Human Computer Interaction

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Adaptive Augmented Reality (A 2 R) is an emerging tech-nology that can support users in their daily life with useful information for their activities which is really adapted to the user's characteristics, to the environment where the activity is taking place, and to the current context. However, one of the problems identified is the lack of a formal definition of the models required and the logical architecture for the development of A 2 R systems. As a first step to this goal, our aim is to propose a detailed definition of the content of the User Model required for this type of systems. We explored state of the art ontologies for user modelling, and propose a set of significant user characteristics to be mod-elled. Also, we present an initial architectural model for this type of systems.

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Gumo – The General User Model Ontology

Cited by 251 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

Personalization for the Semantic Web

The User Model, Vocabulary and Logical Architecture for Adaptive Augmented Reality

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