1,720,995 research outputs found

    Pulp Times. Immaginario del tempo e narrazione cinematografica (T. Pievani autore della parte terza e dei paragrafi terzo, sesto e settimo della parte seconda)

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    La visione del tempo nel cinema, tra narrazione e scienza. T. Pievani autore della parte terza e dei paragrafi terzo, sesto e settimo della parte seconda

    Interoperable User Profiles in Social Systems for Improving Searching

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    Social Bookmarking Systems are increasingly popular. The advantage of using such systems for searching is that the results reflect users point of view about resources. However, this global point of view does not necessarily matches the preferences of the user who searches. We propose an approach for bookmark-based search whose results are personalized according to the match between social parameters of users who search and of users who bookmark. As we do not have information about social parameters of users who bookmark, the preliminary step of the project is to acquire such information. To this aim, we use a mechanism of cross-systems identification and profiling, following and approach of user modeling interoperability

    Cross-Systems Identification of Users in the Social Web

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    In the Social Web, users typically interact with different Social network systems and can have different accounts and different identities. Identifying the users across the Web, independently of the protocols supported by each social system and independently of the authentication data supplied by the user, is, so far, a challenge. This paper presents an approach to perform uniquely user identification by using the public user data distributed across the systems in the Social Web

    Towards a tag-based user model: how can user model benefit from tags?

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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

    A Multidimensional Approach for the Semantic Representation of Taxonomies and Rules in Adaptive Hypermedia Systems

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    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

    Web Services and Semantic Web for Adaptive Systems

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    In this paper we describe the modalities through which an Adaptive System can provide adaptive services using the support of Semantic Web Service technologies. This is the first stage of a project for creating a Semantic Adaptive Web Service that automatically provides both user-adapted services and user models knowledge. In this paper we focus on the enrichment of the service discovery phase through the addition of semantic information

    Retrieval of Personal Public Data on Social Networks. The risks for privacy

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    This contribution analyzes the risks for privacy coming from the distribution of user data over several social networks. Specifically, we focus on risks concerning the possibility to aggregate user datadiscovered on different sources into a single more complete profile, which makes possible to infer other data, likely set as private by the user. In order to show how it is possible to human users as well as to software agents crawling social networks, identifying users, linking their profiles and aggregating their data, we describe the prototype of a search engine we developed. We also present a simulation analysis to show the retrievability of user data by using a combination of people search engines and we provide statistics on the user perception on this issue

    MUSE: A Multidimensional Semantic Environment for Adaptive Hypermedia Systems

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    This paper proposes a model for the design of adaptive systems. The core of the model is based on three matrices whose different planes contain the ontological represen-tation of different types of knowledge. On these planes we represent user features, her actions, context, device, content domain, adaptation goals and methods. The join between planes allows us to represent semantic rules for inferring new user features and to define adaptation strategies. We exploit OWL (Ontology Web Language) to represent taxonomic knowledge and SWRL (Semantic Web Rule Language) for rules. The framework presents a new approach to build adaptive hypermedia systems that support interoperability

    A Semantic Framework for Adaptive Hypermedia Systems

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    This paper presents a methodology for the design of adaptive hypermedia systems. It is based on the use of shared taxonomies and reasoning strategies (generated by the framework and semantically represented), which can be accessed and re-used by other applications
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