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Social tagging is a kind of social annotation by which users label resources, typically web objects, by means of keywords with the goal of sharing, discovering and recovering them. In this paper we investigate the possibility of exploiting the user tagging activity in order to infer knowledge about the user. Up to now the relation between tagging and user modeling seems not to have been investigated in depth. Given the widespread diffusion of web tools for collaborative tagging, it is interesting to understand how user modeling can benefit from this feedback. [ABSTRACT FROM AUTHOR]

In this paper we present an approach to enable interoperability of user-adaptive systems (UASs) in a ubiquitous environment. We model the interactions between systems as a semantics-based dialogue for exchanging user model and context data. We focus on the user data clarification and negotiation tasks, and show how semantics enables, on the one hand, the understanding among user-adaptive systems in a distributed ubiquitous setting, and on the other hand indirectly improves their effectiveness in producing end user results. We deploy and evaluate our approach in the UbiquiTO mobile adaptive tourist guide. [ABSTRACT FROM AUTHOR]

Currently, there is an increasing demand user-adaptive systems for various purposes in many different domains. The development of such systems requires computational efforts which is often challenging and off-putting. The main contribution of our work is the idea to go one step further from sharing user model data (interoperable user models) towards the exchange of user model reasoning strategies (interoperable user modeling). In this paper we discuss, exemplified in a concrete scenario, how Semantic Web techniques may be applied to the field of the Adaptive Systems in order to have a more effective and reliable user model interoperability, considering both the perspectives of User Modeling Servers and Web Servers. [ABSTRACT FROM AUTHOR]

This paper provides a solution to discourse structure adaptation in the process of automatic hypermedia presentation generation. Existing approaches to discourse structure composition are based on the assumption that a user can comprehend relations between the elements in a discourse structure if the overall structure is semantically coherent. This assumption does not, so far, take into account specific user needs. In this paper we show that although discourse structure composition approaches significantly differ, a general model of the composition process can be derived. Within this general model we identify how adaptation can be applied. We formulate the problem of discourse adaptation with regard to the general model and present our proposed solution. [ABSTRACT FROM AUTHOR]

In this paper we describe an approach to design an adaptive system as a Semantic Web Service. We focus on how adaptive systems can provide adaptive services through web service technologies. In particular, we concentrate on adding semantic information to enrich the service discovery phase. We present a recommender system, UbiquiTO-S, which exploits the technology of Web Services (WS) and Semantic Web to allow software agents to discover its services and use its adaptive services. [ABSTRACT FROM AUTHOR]

We are very grateful to Luca Console for having helped us during the development of the project and for his fruitful suggestions.This paper introduces a semantic framework for adaptive systems. The core is a multidimensional matrix whose different planes contain the ontological representation of different types of knowledge. On these planes we represent user features, her actions, context, device, domain, adaptation goals and methods. The intersection between planes allows us to represent and managing semantic rules for inferring new user features or defining adaptation strategies. We exploit OWL to represent taxonomic knowledge and SWRL for rules. [ABSTRACT FROM AUTHOR]

In this paper we present an evaluation of an adaptive annotation technique (the use of icons to help the user in the selection of the most relevant suggested item), using the Grounded Theory methodology. The goal of the evaluation was to find out the best icon in order to communicate the system recommendations in the most effective way. [ABSTRACT FROM AUTHOR]