993 resultados para WWW (tavaramerkki)


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El artículo está destinado a subrayar el proyecto ARISTARCUS, un conjunto de herramientas de trabajo para la investigación y la enseñanza en temas del área de mundo antiguo Griego y Latino y está disponible en el sitio web www.aristarchus.unige.it. Ha sido llevado a cabo por el grupo de investigación del Dipartimento di Archeologia e Filologia Classica (DARFICLET) de la Universidad de Génova, dirigido por el Profesor Franco Montanari. El sitio web incluye cinco ítems: 1) LGGA - Léxico de los Gramáticos Griegos Antiguos; 2) PAWAG - Palabras escasamente atestadas en Griego Antiguo; 3) CPhCl - Catalogus Philologorum Classicorum; 4) CIAPh - Centro Italiano de l'Année Philologique; 5) Mediaclassica, un conjunto de herramientas para la enseñanza de Griego y Latín.

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We discuss from a practical point of view a number of ssues involved in writing distributed Internet and WWW applications using LP/CLP systems. We describe PiLLoW, a publicdomain Internet and WWW programming library for LP/CLP systems that we have designed in order to simplify the process of writing such applications. PiLLoW provides facilities for accessing documents and code on the WWW; parsing, manipulating and generating HTML and XML structured documents and data; producing HTML forms; writing form handlers and CGI-scripts; and processing HTML/XML templates. An important contribution of PÍ'LLOW is to model HTML/XML code (and, thus, the content of WWW pages) as terms. The PÍ'LLOW library has been developed in the context of the Ciao Prolog system, but it has been adapted to a number of popular LP/CLP systems, supporting most of its functionality. We also describe the use of concurrency and a highlevel model of client-server interaction, Ciao Prolog's active modules, in the context of WWW programming. We propose a solution for client-side downloading and execution of Prolog code, using generic browsers. Finally, we also provide an overview of related work on the topic.

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We discuss from a practical point of view a number of issues involved in writing Internet and WWW applications using LP/CLP systems. We describe Pd_l_oW, a public-domain Internet and WWW programming library for LP/CLP systems which we argüe significantly simplifies the process of writing such applications. Pd_l_oW provides facilities for generating HTML structured documents, producing HTML forms, writing form handlers, accessing and parsing WWW documents, and accessing code posted at HTTP addresses. We also describe the architecture of some application classes, using a high-level model of client-server interaction, active modules. We then propose an architecture for automatic LP/CLP code downloading for local execution, using generic browsers. Finally, we also provide an overview of related work on the topic. The PiLLoW library has been developed in the context of the &- Prolog and CIAO systems, but it has been adapted to a number of popular LP/CLP systems, supporting most of its functionality.

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We discuss from a practical point of view a number of issues involved in writing Internet and WWW applications using LP/CLP systems. We describe PiLLoW, an Internet and WWW programming library for LP/CLP systems which we argüe significantly simplifies the process of writing such applications. PiLLoW provides facilities for generating HTML structured documents, producing HTML forms, writing form handlers, accessing and parsing WWW documents, and accessing code posted at HTTP addresses. We also describe the architecture of some application classes, using a high-level model of client-server interaction, active modules. Finally we describe an architecture for automatic LP/CLP code downloading for local execution, using generic browsers. The PiLLoW library has been developed in the context of the &-Prolog and CIAO systems, but it has been adapted to a number of popular LP/CLP systems, supporting most of its functionality.

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La disponibilidad en Internet de grandes volúmenes de información en los que se basan decisiones relacionadas con el funcionamiento de sistemas dinámicos hace que cada vez sean más necesarios métodos efectivos de generación automáti-ca de resumen de información de comportamiento. En este artículo se describe la aplicación MSB (Multimedia Summari-zer of Behavior) como una herramienta software que genera presentaciones multimedia de resumen de comportamiento de sistemas dinámicos para ser presentadas en la Web. MSB usa como entrada datos de comportamiento de fuentes remo-tas (medidos por sensores) que pueden estar disponibles en diferentes servidores Web. Estas fuentes de información se interpretan y resumen usando métodos del campo de la Inteligencia Artificial simulando formas de razonamiento que realizan las personas al resumir información de interés. En el artículo se describe la arquitectura basada en el conocimien-to del sistema MSB y la aplicación desarrollada en el dominio de hidrología sobre comportamiento de cuencas hidrográ-ficas.

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Esta pesquisa investiga as experiências dos professores nas Séries Iniciais do Ensino Fundamental no Estado de São Paulo, sobre o uso do computador como uma ferramenta de trabalho, procurando identificar as relações que estão construindo com o uso das tecnologias tanto na organização e no planejamento de suas aulas quanto na construção dos saberes pedagógicos que podem fazer com o uso do computador. Identificam-se nesse trabalho o acesso e o domínio que os professores têm no dia-a-dia em relação ao computador (incluindo o acesso à internet) e as experiências que estão realizando com o auxilio do computador e da internet. Foi utilizado o conceito de familiarização para análise da relação do professor com o computador.Foram realizadas entrevistas e aplicados questionários aos professores que atuam nos sistemas de ensino público e privado, no Estado de São Paulo, primeiro nível do Ensino Fundamental (1ª a 4ª séries / 2° ao 5° ano ), e aos alunos do curso de Pedagogia. O trabalho evidenciou que existe uma relação de familiarização dos professores, e esse nível passa pelo interesse e pela experiência individual antes de passar para o lado profissional do uso do computador e internet na sala de aula. Não há evidências de resistência ao uso do computador, as atividades com alunos avançam à medida que o professor se desenvolve no uso da tecnologia.(AU)

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Esta pesquisa investiga as experiências dos professores nas Séries Iniciais do Ensino Fundamental no Estado de São Paulo, sobre o uso do computador como uma ferramenta de trabalho, procurando identificar as relações que estão construindo com o uso das tecnologias tanto na organização e no planejamento de suas aulas quanto na construção dos saberes pedagógicos que podem fazer com o uso do computador. Identificam-se nesse trabalho o acesso e o domínio que os professores têm no dia-a-dia em relação ao computador (incluindo o acesso à internet) e as experiências que estão realizando com o auxilio do computador e da internet. Foi utilizado o conceito de familiarização para análise da relação do professor com o computador.Foram realizadas entrevistas e aplicados questionários aos professores que atuam nos sistemas de ensino público e privado, no Estado de São Paulo, primeiro nível do Ensino Fundamental (1ª a 4ª séries / 2° ao 5° ano ), e aos alunos do curso de Pedagogia. O trabalho evidenciou que existe uma relação de familiarização dos professores, e esse nível passa pelo interesse e pela experiência individual antes de passar para o lado profissional do uso do computador e internet na sala de aula. Não há evidências de resistência ao uso do computador, as atividades com alunos avançam à medida que o professor se desenvolve no uso da tecnologia.(AU)

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Online geographic information systems provide the means to extract a subset of desired spatial information from a larger remote repository. Data retrieved representing real-world geographic phenomena are then manipulated to suit the specific needs of an end-user. Often this extraction requires the derivation of representations of objects specific to a particular resolution or scale from a single original stored version. Currently standard spatial data handling techniques cannot support the multi-resolution representation of such features in a database. In this paper a methodology to store and retrieve versions of spatial objects at, different resolutions with respect to scale using standard database primitives and SQL is presented. The technique involves heavy fragmentation of spatial features that allows dynamic simplification into scale-specific object representations customised to the display resolution of the end-user's device. Experimental results comparing the new approach to traditional R-Tree indexing and external object simplification reveal the former performs notably better for mobile and WWW applications where client-side resources are limited and retrieved data loads are kept relatively small.

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In this paper, we present ICICLE (Image ChainNet and Incremental Clustering Engine), a prototype system that we have developed to efficiently and effectively retrieve WWW images based on image semantics. ICICLE has two distinguishing features. First, it employs a novel image representation model called Weight ChainNet to capture the semantics of the image content. A new formula, called list space model, for computing semantic similarities is also introduced. Second, to speed up retrieval, ICICLE employs an incremental clustering mechanism, ICC (Incremental Clustering on ChainNet), to cluster images with similar semantics into the same partition. Each cluster has a summary representative and all clusters' representatives are further summarized into a balanced and full binary tree structure. We conducted an extensive performance study to evaluate ICICLE. Compared with some recently proposed methods, our results show that ICICLE provides better recall and precision. Our clustering technique ICC facilitates speedy retrieval of images without sacrificing recall and precision significantly.

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In this paper, we present a novel indexing technique called Multi-scale Similarity Indexing (MSI) to index image's multi-features into a single one-dimensional structure. Both for text and visual feature spaces, the similarity between a point and a local partition's center in individual space is used as the indexing key, where similarity values in different features are distinguished by different scale. Then a single indexing tree can be built on these keys. Based on the property that relevant images have similar similarity values from the center of the same local partition in any feature space, certain number of irrelevant images can be fast pruned based on the triangle inequity on indexing keys. To remove the dimensionality curse existing in high dimensional structure, we propose a new technique called Local Bit Stream (LBS). LBS transforms image's text and visual feature representations into simple, uniform and effective bit stream (BS) representations based on local partition's center. Such BS representations are small in size and fast for comparison since only bit operation are involved. By comparing common bits existing in two BSs, most of irrelevant images can be immediately filtered. To effectively integrate multi-features, we also investigated the following evidence combination techniques-Certainty Factor, Dempster Shafer Theory, Compound Probability, and Linear Combination. Our extensive experiment showed that single one-dimensional index on multi-features improves multi-indices on multi-features greatly. Our LBS method outperforms sequential scan on high dimensional space by an order of magnitude. And Certainty Factor and Dempster Shafer Theory perform best in combining multiple similarities from corresponding multiple features.

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In this paper, we present a novel indexing technique called Multi-scale Similarity Indexing (MSI) to index imagersquos multi-features into a single one-dimensional structure. Both for text and visual feature spaces, the similarity between a point and a local partitionrsquos center in individual space is used as the indexing key, where similarity values in different features are distinguished by different scale. Then a single indexing tree can be built on these keys. Based on the property that relevant images haves similar similarity values from the center of the same local partition in any feature space, certain number of irrelevant images can be fast pruned based on the triangle inequity on indexing keys. To remove the ldquodimensionality curserdquo existing in high dimensional structure, we propose a new technique called Local Bit Stream (LBS). LBS transforms imagersquos text and visual feature representations into simple, uniform and effective bit stream (BS) representations based on local partitionrsquos center. Such BS representations are small in size and fast for comparison since only bit operation are involved. By comparing common bits existing in two BSs, most of irrelevant images can be immediately filtered. Our extensive experiment showed that single one-dimensional index on multi-features improves multi-indices on multi-features greatly. Our LBS method outperforms sequential scan on high dimensional space by an order of magnitude.