35,508 research outputs found

    An information presentation method based on tree-like super entity component

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    Information systems are increasingly oriented in the direction of large-scale integration due to the explosion of multi-source information. It is therefore important to discuss how to reasonably organize and present information from multiple structures and sources on the same information system platform. In this study, we propose a 3C (Components, Connections, Container) component model by combining white-box and black-box methods, design a tree-like super entity based on the model, present its construction and related algorithm, and take a tree-like super entity as the information organization method for multi-level entities. In order to represent structural, semi-structural and non-structural data on the same information system platform, an information presentation method based on an editable e-book component has been developed by combining the tree-like super entity component, QQ-style menu and 1/K switch connection component, which has been successfully applied in the Flood Protection Project Information System of the Yangtze River in China. © 2011 Elsevier Inc

    Designing a training tool for imaging mental models

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    The training process can be conceptualized as the student acquiring an evolutionary sequence of classification-problem solving mental models. For example a physician learns (1) classification systems for patient symptoms, diagnostic procedures, diseases, and therapeutic interventions and (2) interrelationships among these classifications (e.g., how to use diagnostic procedures to collect data about a patient's symptoms in order to identify the disease so that therapeutic measures can be taken. This project developed functional specifications for a computer-based tool, Mental Link, that allows the evaluative imaging of such mental models. The fundamental design approach underlying this representational medium is traversal of virtual cognition space. Typically intangible cognitive entities and links among them are visible as a three-dimensional web that represents a knowledge structure. The tool has a high degree of flexibility and customizability to allow extension to other types of uses, such a front-end to an intelligent tutoring system, knowledge base, hypermedia system, or semantic network

    Large Graph Analysis in the GMine System

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    Current applications have produced graphs on the order of hundreds of thousands of nodes and millions of edges. To take advantage of such graphs, one must be able to find patterns, outliers and communities. These tasks are better performed in an interactive environment, where human expertise can guide the process. For large graphs, though, there are some challenges: the excessive processing requirements are prohibitive, and drawing hundred-thousand nodes results in cluttered images hard to comprehend. To cope with these problems, we propose an innovative framework suited for any kind of tree-like graph visual design. GMine integrates (a) a representation for graphs organized as hierarchies of partitions - the concepts of SuperGraph and Graph-Tree; and (b) a graph summarization methodology - CEPS. Our graph representation deals with the problem of tracing the connection aspects of a graph hierarchy with sub linear complexity, allowing one to grasp the neighborhood of a single node or of a group of nodes in a single click. As a proof of concept, the visual environment of GMine is instantiated as a system in which large graphs can be investigated globally and locally

    Collaborative Categorization on the Web

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    Collaborative categorization is an emerging direction for research and innovative applications. Arguably, collaborative categorization on the Web is an especially promising emerging form of collaborative Web systems because of both, the widespread use of the conventional Web and the emergence of the Semantic Web providing with more semantic information on Web data. This paper discusses this issue and proposes two approaches: collaborative categorization via category merging and collaborative categorization proper. The main advantage of the first approach is that it can be rather easily realized and implemented using existing systems such as Web browsers and mail clients. A prototype system for collaborative Web usage that uses category merging for collaborative categorization is described and the results of field experiments using it are reported. The second approach, called collaborative categorization proper, however, is more general and scales better. The data structure and user interface aspects of an approach to collaborative categorization proper are discussed

    Distilling Word Embeddings: An Encoding Approach

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    Distilling knowledge from a well-trained cumbersome network to a small one has recently become a new research topic, as lightweight neural networks with high performance are particularly in need in various resource-restricted systems. This paper addresses the problem of distilling word embeddings for NLP tasks. We propose an encoding approach to distill task-specific knowledge from a set of high-dimensional embeddings, which can reduce model complexity by a large margin as well as retain high accuracy, showing a good compromise between efficiency and performance. Experiments in two tasks reveal the phenomenon that distilling knowledge from cumbersome embeddings is better than directly training neural networks with small embeddings.Comment: Accepted by CIKM-16 as a short paper, and by the Representation Learning for Natural Language Processing (RL4NLP) Workshop @ACL-16 for presentatio

    Model-driven generative programming for BIS mobile applications

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    The burst on the availability of smart phones based on the Android platform calls for cost-effective techniques to generate mobile apps for general purpose, distributed business information systems (BIS). To mitigate this problem our research aims at applying model-driven techniques to automatically generate usable prototypes with a sound, maintainable, architecture. Following three base principles: model-based generation, separation of concerns, paradigm seamlessness, we try to answer the main guiding question – how to reduce development time and cost by transforming a given domain model into an Android application? To answer this question we propose to develop an application that follows a generative approach for mobile BIS apps that will mitigate the identified problems. Its input is a platform independent model (PIM), with business rules specified in OCL (Object Constraint Language). We adopted the Design Science Research methodology, that helps gaining problem understanding, identifying systemically appropriate solutions, and in effectively evaluating new and innovative solutions. To better evaluate our solution, besides resorting to third party tools to test specific components integration, we demonstrated its usage and evaluated how well it mitigates a subset of the identified problems in an observational study (we presented our generated apps to an outside audience in a controlled environment to study our model-based centered and, general apps understandability) and communicated its effectiveness to researchers and practitioners.O grande surto de disponibilidade de dispositivos móveis para a plataforma Android requer, técnicas generativas de desenvolvimento de aplicações para sistemas comuns e/ou distribuídos de informação empresariais/negócio, que otimizem a relação custo-benefício. Para mitigar este problema, esta investigação visa aplicar técnicas orientadas a modelos para, automaticamente, gerar protótipos funcionais de aplicações com uma arquitetura robusta e fácil de manter. Seguindo para tal três princípios base: geração baseada no modelo, separação de aspetos, desenvolvimento sem soturas (sem mudança de paradigma), tentamos dar resposta à pergunta orientadora – como reduzir o tempo e custo de desenvolvimento de uma aplicação Android por transformação de um dado modelo de domínio? De modo a responder a esta questão nós propomos desenvolver uma aplicação que segue uma abordagem generativa para aplicações de informação empresariais/negócio móveis de modo a mitigar os problemas identificados. Esta recebe modelos independentes de plataforma (PIM), com regras de negócio especificadas em OCL (Object Constraint Language). Seguimos a metodologia Design Science Research que ajuda a identificar e perceber o problema, a identificar sistematicamente soluções apropriadas aos problemas e a avaliar mais eficientemente soluções novas e inovadoras. Para melhor avaliar a nossa solução, apesar de recorrermos a ferramentas de terceiros para testar a integração de componentes específicos, também demonstramos a sua utilização, através de estudos experimentais (em um ambiente controlado, apresentamos as nossas aplicações geradas a uma audiência externa que nos permitiu estudar a compreensibilidade baseada e centrada em modelos e, de um modo geral, das aplicações) avaliamos o quanto esta mitiga um subconjunto de problemas identificados e comunicamos a sua eficácia para investigadores e profissionais
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