11 research outputs found

    Using e-collaboration to improve management education: three scenarios

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    This paper explores the potential impact of collaborative technologies in improving management education. The first goal is to expose students to tools and practices that not only assist them with their current studies, but also serve to reinforce individual and team competencies that can facilitate their entry into the workforce. In their positions as future managers they will be expected to not only be familiar with common business practices but also to understand the implications of information technology for business; in this case with emphasis on tools and techniques that can help businesses flourish in the networked economy. With an ever-increasing recognition that e-learning tools are important for (re-)training employees, these three scenarios offer examples of how business schools might expand the boundaries of e-collaboration to help their students. These experiments have been conducted in management programs. In the first two scenarios, students use collaborative platforms in some of their daily work. The third experiment is based on a student-centred design of a learning portal. Our experience reinforces a certain number of hypotheses influencing the impact of collaborative technologies in management education. To begin with, information systems are often flawed mirrors of the managerial system that they are designed to represent. Secondly, the potential value of collaborative technologies is strongly influenced by organizational contexts, both in and between the university and the business community. Thirdly, the effectiveness of collaborative technologies depends to a large degree upon the depth and coherence of learning objectives fixed for learning and work places. Finally, improving the effectiveness of collaborative technologies requires aligning the design of learning environments with the corporate cultures and visions we are trying to reproduce

    Extraction de termes, reconnaissance et labellisation de relations dans un th\'esaurus

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    Within the documentary system domain, the integration of thesauri for indexing and retrieval information steps is usual. In libraries, documents own rich descriptive information made by librarians, under descriptive notice based on Rameau thesaurus. We exploit two kinds of information in order to create a first semantic structure. A step of conceptualization allows us to define the various modules used to automatically build the semantic structure of the indexation work. Our current work focuses on an approach that aims to define an ontology based on a thesaurus. We hope to integrate new knowledge characterizing the territory of our structure (adding "toponyms" and links between concepts) thanks to a geographic information system (GIS)

    Valoriser le patrimoine culturel pyrénéen à l’aide d’une plateforme et d’une application mobile

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    Le projet TCVPYR est un projet européen FEDER dont le but est de promouvoir le tourisme dans la région française des Pyrénées en exploitant son patrimoine culturel. Il implique des chercheurs de différents domaines : géographes, historiens, anthropologues et informaticiens. Cet article présente deux approches pour tirer parti des points d’intérêts (POI) liés au patrimoine culturel, toutes deux intégrant des concepts du Web de données. La première s’intéresse à la publication automatique des données dans des plateformes open data connues comme Wikipédia. La seconde concerne une application mobile open source dédiée à des itinéraires touristiques. La première approche propose un processus automatique complet permettant de publier n’importe quel jeu de données sur Wikipédia. Grâce à une preuve de concepts (POC), nous avons validé ce processus sur un jeu de données contenant des données géoréférencées du patrimoine culturel, collectées par les chercheurs du projet TCVPYR dans différentes régions des Pyrénées. Ces mêmes données sont également mises à disposition du grand public dans la seconde approche originale de valorisation : une application mobile open source dédiée à la valorisation du patrimoine pyrénéen via la génération personnalisée d’itinéraires touristiques.TCVPYR is a European FEDER project which aims to promote tourism in the French Pyrenees region by leveraging its cultural heritage. It involves scientists from various domains: geographers, historians, anthropologists, and computer scientists. This paper presents two approaches to exploit cultural heritage points of interest (POI), both using Web of data concepts. One consists in publishing these data into the database of well-known open data platforms such as Wikipedia. The other one consists in an open source mobile application dedicated to touristic itineraries. The first approach involves a fully automated process to publish any dataset on Wikipedia. Thanks to a proof of concept (POC), we validate this process on a sample of geo-referenced cultural heritage data collected by TCVPYR researchers in different regions of the Pyrenees. These same data are also highlighted in the second approach via a mobile application recommending personalised touristic itineraries

    Using E-collaboration to improve management education: three scenarios

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    This paper explores the potential impact of collaborative technologies in improving management education. The first goal is to expose students to tools and practices that not only assist them with their current studies, but also serve to reinforce individual and team competencies that can facilitate their entry into the workforce. In their positions as future managers they will be expected to not only be familiar with common business practices but also to understand the implications of information technology for business; in this case with emphasis on tools and techniques that can help businesses flourish in the networked economy. With an ever-increasing recognition that e-learning tools are important for (re-)training employees, these three scenarios offer examples of how business schools might expand the boundaries of e-collaboration to help their students. These experiments have been conducted in management programs. In the first two scenarios, students use collaborative platforms in some of their daily work. The third experiment is based on a student-centred design of a learning portal. Our experience reinforces a certain number of hypotheses influencing the impact of collaborative technologies in management education. To begin with, information systems are often flawed mirrors of the managerial system that they are designed to represent. Secondly, the potential value of collaborative technologies is strongly influenced by organizational contexts, both in and between the university and the business community. Thirdly, the effectiveness of collaborative technologies depends to a large degree upon the depth and coherence of learning objectives fixed for learning and work places. Finally, improving the effectiveness of collaborative technologies requires aligning the design of learning environments with the corporate cultures and visions we are trying to reproduc

    Une approche basée sur des relations pour la RI sémantique

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    Dans cet article, nous comparons trois méthodes de RI basées sur des mots-clés, sur des concepts et, pour la dernière, sur des concepts et des relations sémantiques entre concepts. La dernière méthode met en oeuvre un algorithme de calcul de similarité conceptuelle implémenté par un prototype. Notre évaluation démontre que cette méthode améliore la précision par rapport à une RI basée uniquement sur des concepts

    An ETL-like platform for the processing of mobility data

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    International audienceIn this article, we introduce a novel platform dedicated to the extraction, transformation and visualization of mobility data. This platform was developed in the framework of a French regional project (DA3T project) aiming at improving the management and valorisation of touristic cities via the fine-grained analysis of tourist mobility data. The system is totally modular, and non-computer scientists (such as geographers) can make processing pipelines from a variety of modules belonging to different categories (e.g., extraction, filtering, visualization, etc.). Each pipeline is created in order to help fulfil one or several reporting needs. Indeed, the results of those pipelines aim to be presented to local authorities and decision makers to assist them in improving infrastructure and tourism management. Beyond this main use case, the platform is also generic and aims to work with any kind of mobility data (not strictly limited to the tourism field). It is heavily inspired by traditional ETL (Extract, Transform, Load) software and processes

    Recommendation of Heterogeneous Cultural Heritage Objects for the Promotion of Tourism

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    The cultural heritage of a region, be it a highly visited one or not, is a formidable asset for the promotion of its tourism. In many places around the world, an important part of this cultural heritage has been catalogued by initiatives backed by governments and organisations. However, as of today, most of this data has been mostly unknown, or of difficult access, to the general public. In this paper, we present research that aims to leverage this data to promote tourism. Our first field of application focuses on the French Pyrenees. In order to achieve our goal, we worked on two fronts: (i) the ability to export this data from their original databases and data models to well-known open data platforms; and (ii) the proposition of an open-source algorithm and framework capable of recommending a sequence of cultural heritage points of interests (POIs) to be visited by tourists. This itinerary recommendation approach is original in many aspects: it not only considers the user preferences and popularity of POIs, but it also integrates different contextual information about the user as well as the relevance of specific sequences of POIs (strong links between POIs). The ability to export the cultural heritage data as open data and to recommend sequences of POIs are being integrated in a first prototype
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