4 research outputs found

    PEERS - an open science ā€œPlatform for the Exchange of Experimental Research Standardsā€ in biomedicine

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    Funding The PEERS Consortium is currently funded by Cohen Veterans Bioscience Ltd and grants COH-0011 from Steven A. Cohen. Acknowledgements We would like to thank IJsbrand Jan Aalbersberg, Natasja de Bruin, Philippe Chamiot-Clerc, Anja Gilis, Lieve Heylen, Martine Hofmann, Patricia Kabitzke, Isabel Lefevre, Janko Samardzic, Susanne Schiffmann and Guido Steiner for their valuable input and discussions during the conceptualization of PEERS and the initial phase of the project.Peer reviewedPublisher PD

    An Integrated System for Urban Parks Touring and Management

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    Urban parks are important recreational spaces of environmental interest for citizens and city visitors. Targeted and attractive promotion of these areas can help develop alternative forms of “green tourism” and increase environmental awareness among citizens, which is particularly important and vital for the future of the planet. New technologies are a key tool for improving the experience of touring urban parks, as they can make the tour much more attractive by highlighting interesting information about the flora and fauna of the park, as well as various other points of interest. This paper presents an integrated system based on augmented reality, artificial intelligence, and data analytics methodologies, comprising both mobile and web applications, focusing on urban parks touring and management, respectively. Through the mobile app for the park visitors, an attractive, interactive touring environment is created which highlights the environmental and historical interest of those areas. At the same time, the web applications for the park managers receive and analyze visitor data to help improve the visitor experience and the overall quality of the park. Finally, the developed integrated system is evaluated to ensure that it meets all user requirements and that its usability and functional components satisfy both groups of potential users, i.e., park visitors and park managers

    Implementing a Query Language for Context-dependent Semistructured Data

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    Abstract. In todayā€™s global environment, the structure and presentation of information may depend on the underlying context of the user. To address this issue, in previous work we have proposed multidimensional semistructured data (MSSD), where an information entity can have alternative variants, or facets, each holding under some world, and MOEM, a data model suitable for representing MSSD. In this paper we briefly present MQL, a query language for MSSD that supports context-driven queries, and we attempt to motivate the direct use of context in data models and query languages by comparing MOEM and MQL with equivalent, context-unaware forms of representing and querying information. Specifically, we implemented an evaluation process for MQL during which MQL queries are translated to equivalent Lorel queries, and MOEM databases are transformed to corresponding OEM databases. The comparison between the two query languages and data models demonstrates the benefits of treating context as first-class citizen. We illustrate this query translation process using a cross-world MQL query, which has no direct counterpart in contextunaware query languages and data models.

    An Integrated System for Urban Parks Touring and Management

    No full text
    Urban parks are important recreational spaces of environmental interest for citizens and city visitors. Targeted and attractive promotion of these areas can help develop alternative forms of ā€œgreen tourismā€ and increase environmental awareness among citizens, which is particularly important and vital for the future of the planet. New technologies are a key tool for improving the experience of touring urban parks, as they can make the tour much more attractive by highlighting interesting information about the flora and fauna of the park, as well as various other points of interest. This paper presents an integrated system based on augmented reality, artificial intelligence, and data analytics methodologies, comprising both mobile and web applications, focusing on urban parks touring and management, respectively. Through the mobile app for the park visitors, an attractive, interactive touring environment is created which highlights the environmental and historical interest of those areas. At the same time, the web applications for the park managers receive and analyze visitor data to help improve the visitor experience and the overall quality of the park. Finally, the developed integrated system is evaluated to ensure that it meets all user requirements and that its usability and functional components satisfy both groups of potential users, i.e., park visitors and park managers
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