1,720,960 research outputs found

    A Novel Client-Server Sketch Recognition Approach for Advanced Mobile Services

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    Multimodal interfaces can be profitably used to support the more and more complex mobile applications and services which support human activities in everyday life. In particular, sketch-based interfaces offer users an effortless and powerful communication way to represent concepts and/or commands on different mobile devices. Developing a sketchbased interface for a specific application or service is a time-consuming task that requires the re-engineering and/or the re-designing of the whole recognizer framework. This paper describes a novel client-server framework, for mobile devices, which allows users to define each kind of sketch-based interface, simply by using freehand drawing. Both interface definition and its recognition process are performed using our Sketch Modeling Language (SketchML)

    A Novel Recognition Approach for Sketch-Based Interfaces

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    Multimodal interfaces can be profitably used to support the more and more complex applications and services which support human activities in everyday life. In particular, sketch-based interfaces offer users an effortless and powerful communication way to represent concepts and/or commands on different devices. Developing a sketch-based interface for a specific application or service is a time-consuming operation that requires the re-engineering and/or the re-designing of the whole recognizer framework. This paper describes a definitive framework that allows users to define each kind of sketch-based interface, using freehand drawing only. The definition of the interface and its recognition process are performed using our developed Sketch Modeling Language (SketchML). © 2009 Springer Berlin Heidelberg

    SketchML a Representation Language for Novel Sketch Recognition Approach

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    Multimodal interfaces can be profitably used to support increasingly complex services in assistive environments. In particular, sketch-based interfaces o®er users an e®ortless and powerful communication way to represent concepts and commands on di®erent devices. Unlike other modalities, sketch-based interaction can be easily fitted according to heterogeneous services. Moreover it can be quickly personalized according to the user needs. Developing a sketch-based interface for a specific service is a time-consuming operation that requires the re-engineering and/or the re-designing of the whole recognizer framework. This paper describes a definitive framework by which the user, simply by using freehand drawing, can define every kind of sketch-based interface. The definition of the interface and its recognition process are performed by using our developed Sketch Modeling Language (SketchML). Copyright 2009 ACM

    Metadata Management

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    Abstract The management of heterogeneous databases, in integrated or collaborative contexts, always involves the need for solutions to data programmability issues. In general, data programmability addresses problems dealing with evolving scenarios: changes in a database which collaborates in a heterogeneous envi- ronment often imply a sequence of propagating changes in related databases at any level, model, schema, and data. In this scenario there is the need to translate data and their descriptions from one model (i.e. data model) to another. Even small variations of models are often enough to create difficulties. For example, while most database sys- tems are now object-relational, the actual features offered by different systems rarely coincide, so data migration requires a conversion. Every new database technology introduces more heterogeneity and thus more need for translations. According to the model management proposal, these problems can be solved conveniently applying the ModelGen operator, that can be defined as follows using our terminology: given two models M1 and M2 and a schema S1 of M1, ModelGen translates S1 into a schema S2 of M2 that properly represents S1. In this dissertation we will be presenting our theoretical and practical con- tribution to the development of an effective implementation of a generic (i.e. model independent) platform for schema and data translation. We improve the expressive power of its supermodel, that is the set of models handled and accuracy and precision of such models representation. We show how it is possible to automatically reason on models and schemas and how to find a suitable translation given a source and a target model exploiting a formal system, proved to be sound and complete. Then we propose an exten- sion of Datalog based on the use of hierarchies and a sort of polymorphism, that provides a significant simplification in the definition of translations and a higher level of reuse in the specification of elementary translations. Finally we present a new, lightweight, runtime approach to the translation problem, where translations of data are performed directly on the operational system

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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