6,104 research outputs found

    Natural Notation for the Domestic Internet of Things

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    This study explores the use of natural language to give instructions that might be interpreted by Internet of Things (IoT) devices in a domestic `smart home' environment. We start from the proposition that reminders can be considered as a type of end-user programming, in which the executed actions might be performed either by an automated agent or by the author of the reminder. We conducted an experiment in which people wrote sticky notes specifying future actions in their home. In different conditions, these notes were addressed to themselves, to others, or to a computer agent.We analyse the linguistic features and strategies that are used to achieve these tasks, including the use of graphical resources as an informal visual language. The findings provide a basis for design guidance related to end-user development for the Internet of Things.Comment: Proceedings of the 5th International symposium on End-User Development (IS-EUD), Madrid, Spain, May, 201

    Greater Control and Transparency in Personal Data Processing

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    Although the European General Data Protection Regulation affords data subjects more control over how their personal data is stored and processed, there is a need for technical solutions to support these legal rights. In this position paper we assess the level of control, transparency and compliance offered by three different approaches (i.e., defacto standard, SPECIAL, Solid). We propose a layered decentralised architecture based on combining SPECIAL and Solid. Finally, we introduce our usage control framework, which we use to compare and contrast the level of control and compliance offered by the four different approaches

    Where are your Manners? Sharing Best Community Practices in the Web 2.0

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    The Web 2.0 fosters the creation of communities by offering users a wide array of social software tools. While the success of these tools is based on their ability to support different interaction patterns among users by imposing as few limitations as possible, the communities they support are not free of rules (just think about the posting rules in a community forum or the editing rules in a thematic wiki). In this paper we propose a framework for the sharing of best community practices in the form of a (potentially rule-based) annotation layer that can be integrated with existing Web 2.0 community tools (with specific focus on wikis). This solution is characterized by minimal intrusiveness and plays nicely within the open spirit of the Web 2.0 by providing users with behavioral hints rather than by enforcing the strict adherence to a set of rules.Comment: ACM symposium on Applied Computing, Honolulu : \'Etats-Unis d'Am\'erique (2009

    The Use of Sticky Notes towards The Improvement of Students’ English Vocabulary Mastery at SMPN 11 Maros Baru

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    The findings showed that both experimental and controlled class’ students can improve English vocabulary. It was measured by the increasing’ mean score of the students score in pre-test to post-test. The mean score of the students in experimental class was 69.5 to 81. Meanwhile, the mean score of the students in controlled class was 69 to 71.5. After measuring the students’ mean score, the researcher found that the use of Sticky Notes in experimental class significantly improved the students’ vocabulary mastery. It can be seen by the value of t-test and t-table which the t-test (2.159) was higher than the t-table (2.042)

    Exponential Lower Bounds and Separation for Query Rewriting

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    We establish connections between the size of circuits and formulas computing monotone Boolean functions and the size of first-order and nonrecursive Datalog rewritings for conjunctive queries over OWL 2 QL ontologies. We use known lower bounds and separation results from circuit complexity to prove similar results for the size of rewritings that do not use non-signature constants. For example, we show that, in the worst case, positive existential and nonrecursive Datalog rewritings are exponentially longer than the original queries; nonrecursive Datalog rewritings are in general exponentially more succinct than positive existential rewritings; while first-order rewritings can be superpolynomially more succinct than positive existential rewritings
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