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Investissements Ra&D Unités 2020 - Advanced Data Engineering/AdDE

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: Initiative Media Innovation

Description du projet : Le projet a pour objectif de comprendre empiriquement l'impact de la mise en place d'un label sur le lectorat suisse, d'identifier le potentiel économique lié et de mettre en place un système d'authentification et de traçabilité sécurisé du contenu original grâce aux métadonnées générées par la publication de contenu journalistique en ligne. Ce projet vise à fournir des réponses aux questions de recherche suivantes : 1. Est-ce que la mise en place d'un label promouvant la qualité d'un contenu comme original augmente le taux de lecture chez le lectorat ? Quel type/forme de label impacte au mieux le lectorat ? 2. Quels sont les méthodes et systèmes les plus optimaux afin de pouvoir certifier et authentifier l'originalité d'un contenu journalistique ? 3. Quelle est l'approche la plus optimale pour le déploiement d'un système de certification inter-médias au niveau régional, national et international ?

Research team within HES-SO: Cretton Fabian , Liu Zhan , Glassey Balet Nicole , Beuchat Jean-Luc , Delaloye Matthieu

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.08.2019 - 28.02.2021

Montant global du projet: 131'182 CHF

Statut: Completed

Axe Développement Régional 2020 - HES-SO Valais-Wallis

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Description du projet : Projet ouvert à la demande du RI et RU's. Destiné à la saisie des heures Ra&D montage du corps intermédiaire (assistants et adjoints)

Research team within HES-SO: Cretton Fabian , Genoud Dominique , Wannier David , Taramarcaz Caroline , Liu Zhan , Vianin Jérémie , Mayoraz Calixte , Pereira Helena , Zuber Lucien , Arbellay Olivier , Alder Jean-Marie , Chianella Nicolas , Treboux Jérôme , Eggel Ivan

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.01.2020 - 31.12.2020

Statut: Completed

Maladie et congés spéciaux IIG 2020

Role: Collaborator

Financement: VS - Direction / Ra&D; Service de la culture; VS - Direction / Ra&D

Description du projet : Projet inter-disciplinaire pour l'Axe Développement Régional de la HES-SO Valais-Wallis (remplace l'Axe Tourisme) Principalement pour la saisie d'heures pour la coordination et la participation aux séances de l'axe Développement régional. Pas de remboursement de frais de déplacement inter-site. Ventilation pour les BSM : W00 - centre de coût 90014 - n°projet (ne pas mettre de pilier 6 dans la ventilation car c'est sur un centre de coûts) Répartition du budget sur les projets socle des instituts au 31.12.2020

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Research team within HES-SO: Fragniere Emmanuel Cretton Viviane Glassey Deborah Genoud Stéphane Bonazzi Riccardo Loubier Jean-Christophe Larpin Blaise Grèzes Vincent Liu Zhan Barbey Valérie Bianchi Christophe Bocchi Yann Antille Benoît Mudry Pierre-André Simon Maya Glassey Balet Nicole Piantini Umberto Rey Jean-Pierre Hofstädter Martine Cimmino Francesco Maria Juon Dominic Vérolet Fanny Délétroz Nicolas Jordan Nicolas Lenggenhager Micha Weibel Amine Waldis Barbara Moroni Isabelle Seppey Sherine Wyer Melanie Saviozzi Cristina Schwery Romain Piguet Jean-Gabriel Amrein Daniel Bournissen Chantal Antille Alain Simon Emilie Delaloye Matthieu Imboden Serge

Durée du projet: 01.01.2020 - 31.12.2020

Montant global du projet: 180'000 CHF

Statut: Completed

Mandat : Prototype annuaire fédéral en LD 2019

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Description du projet : Projet ouvert pour la gestion interne à l'institut des cas de maladie et des congés spéciaux pour 2020, pour les corps intermédiaires.

Research team within HES-SO: Martin Simon , Cretton Fabian , Barmaz Xavier , Rey-Gillioz Anne-Christine , Salamin Anne-Dominique , Chollet Olivier , Genoud Dominique , Evéquoz Florian , Depeursinge Adrien , Kohler Nadège , Atzori Manfredo , Duan Hui , Schumann René , Barattini Claude-Anne , Antic Dragana , Maier Niklas , Wannier David , Taramarcaz Caroline , Liu Zhan , Xia Leyun , Duc Alain , Vianin Jérémie , Zufferey Cyril , Elias Angelo , Nanchen Moïra , Jimenez Del Toro Oscar Alfonso , Morand Frédéric , Bocchi Yann , Rizzo Gianluca , Jara Valera Antonio Jesus , Sokhn Maria , Glassey Balet Nicole , Le Calvé Anne , Maier Werner , Rey Jean-Pierre , Mayoraz Calixte , Sciboz Laurent , Schumacher Michael Ignaz , Caibis Vincent , Pereira Helena , Schaer Roger , Eggenschwiler Stefan , Zufferey Jeff , Fux Rainer , Nanchen Benjamin , Mitrovic Vlado , Zuber Lucien , Müller Henning , Widmer Antoine , Reichenbach Julien , Cognolato Matteo , Calbimonte Jean-Paul , Ahmad Célia , Nowak Maxime , Antille Sylvie , Alder Jean-Marie , Cotter Valentine , Bretz Louise , Mc Krory Michael , Hadorn Christophe , Hunacek Daniel , Dhrangadhariya Anjani , Maalouf Eliane , Beuchat Jean-Luc , Pitteloud Pascal , Crettenand Bernard , Fanda Lora , Buosi Alessandro , Siboni Enrico , Payen Cassandre , Treboux Jérôme , Ballestraz Sarjan , Pannatier Pascal , Delafontaine Serge , Russo David , Rey Bernard , Cotting Alexandre , Eggel Ivan , Zenklusen Fabrizio

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.01.2020 - 31.12.2020

Statut: Completed

Mandat : Schweizerische Bundesarchiv 2019

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: SCHWEIZERISCHE BUNDESKANZLEI

Description du projet : à compléter Pour facturation : préciser le n°de commande + doit être envoyé en PDF via billexco

Research team within HES-SO: Cretton Fabian , Evéquoz Florian , Liu Zhan , Sokhn Maria , Le Calvé Anne , Shabani Shaban , Beuchat Jean-Luc , Jungius Christiane

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.11.2019 - 31.01.2020

Montant global du projet: 18'520 CHF

Statut: Completed

Investissements Ra&D Unités 2019 - eServices

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: SECO

Description du projet : à compléter Pour facturation : préciser le n°de commande + doit être envoyé en PDF via billexco

Research team within HES-SO: Cretton Fabian , Evéquoz Florian , Liu Zhan , Sokhn Maria , Le Calvé Anne , Shabani Shaban , Beuchat Jean-Luc , Jungius Christiane

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.11.2019 - 31.01.2020

Montant global du projet: 13'324 CHF

Statut: Completed

Maladie et congés spéciaux IIG 2019

Role: Collaborator

Financement: VS - Institut Informatique; VS - Institut Informatique

Description du projet : Projet ouvert à la demande du RI et RU's. Destiné à la saisie des heures Ra&D montage du corps intermédiaire (assistants et adjoints) - gestion sous la responsabilité de chaque RU et pilotage par unité

Research team within HES-SO: Cretton Fabian , Rey-Gillioz Anne-Christine , Duan Hui , Antic Dragana , Maier Niklas , Taramarcaz Caroline , Liu Zhan , Xia Leyun , Morand Frédéric , Zappellaz Nancy , Sciboz Laurent , Pellaton Camille , Fux Rainer , Nowak Maxime , Antille Sylvie , Nicolet Nancy , Hadorn Christophe , Pitteloud Pascal , Crettenand Bernard , Ballestraz Sarjan , Pannatier Pascal , Delafontaine Serge , Zenklusen Fabrizio

Durée du projet: 01.01.2019 - 31.12.2019

Statut: Completed

LINDAS : technische Unterstützung "Stabilisierungsphase" 2016/2017 - SECO

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Description du projet : Projet ouvert pour la gestion interne à l'institut des cas de maladie et des congés spéciaux pour 2019, pour les corps intermédiaires.

Research team within HES-SO: Martin Simon , Cretton Fabian , Barmaz Xavier , Rey-Gillioz Anne-Christine , Salamin Anne-Dominique , Genoud Dominique , Evéquoz Florian , Depeursinge Adrien , Kohler Nadège , Atzori Manfredo , Duan Hui , Schumann René , Barattini Claude-Anne , Antic Dragana , Maier Niklas , Wannier David , Taramarcaz Caroline , Liu Zhan , Xia Leyun , Duc Alain , Vianin Jérémie , Zufferey Cyril , Elias Angelo , Nanchen Moïra , Jimenez Del Toro Oscar Alfonso , Morand Frédéric , Bocchi Yann , Rizzo Gianluca , Jara Valera Antonio Jesus , Sokhn Maria , Glassey Balet Nicole , Le Calvé Anne , Maier Werner , Rey Jean-Pierre , Mayoraz Calixte , Sciboz Laurent , Schumacher Michael Ignaz , Caibis Vincent , Pereira Helena , Schaer Roger , Eggenschwiler Stefan , Zufferey Jeff , Fux Rainer , Nanchen Benjamin , Mitrovic Vlado , Zuber Lucien , Müller Henning , Widmer Antoine , Cognolato Matteo , Ahmad Célia , Nowak Maxime , Antille Sylvie , Cotter Valentine , Bretz Louise , Mc Krory Michael , Hadorn Christophe , Hunacek Daniel , Maalouf Eliane , Pitteloud Pascal , Crettenand Bernard , Treboux Jérôme , Ballestraz Sarjan , Pannatier Pascal , Delafontaine Serge , Russo David , Rey Bernard , Cotting Alexandre , Eggel Ivan , Zenklusen Fabrizio

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.01.2019 - 31.12.2019

Statut: Completed

CrowDPLOS : Disabled pedestrian level of service extracted from crowdsourced images

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: SECO

Description du projet : Der Basisdienst LINDAS stellt eine Linked Data lnfrastruktur für die offentliche Verwaltung zur Verfugung und befindet sich seit Marz 2015 im Pilotbetrieb. Diverse Use Cases wurden seither umgesetzt respektive befinden sich in Umsetzung. Die vielfaltigen Moglichkeiten und die Vorteile von Linked Data insbesondere hinsichtlich Datenintegration und Datenpublikation zeigen sich bereits in den ersten Use Cases, z.B. das historisierte Gemeindeverzeichnis des BFS oder die Umweltdaten des BAFU. Der Pilotbetrieb muss in einer nachsten Phase stabilisiert werden. Diese «Stabilisierungsphase» dauert von Mitte 2016 bis Ende 2017 und lässt sich grob in die folgenden Teilbereiche gliedern: ' Umsetzung der geplanten Use Cases, ' Technische Stabilisierung und Ausbau LINDAS, ' Laufende Betriebsunterstutzung, ' Vorbereitungen Betriebsübergabe und technische Voraussetzungen für einen späteren Weiterausbau durch Dritte.

Research team within HES-SO: Cretton Fabian , Evéquoz Florian , Liu Zhan , Sokhn Maria , Le Calvé Anne , Shabani Shaban , Beuchat Jean-Luc , Jungius Christiane

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.11.2016 - 31.12.2019

Montant global du projet: 98'980 CHF

Statut: Completed

Visibility Improvement for Events Webcasting (VIEW) - CTI 18378.2 PFES-ES

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Cotting Alexandre, VS - Institut Informatique

Financement: Fondation Hasler

Description du projet : CrowDPLOS : Disabled pedestrian level of service extracted from crowdsourced images

Research team within HES-SO: Divorne Sandrine , Rojas Diego , Loubier Jean-Christophe , Liu Zhan , Ertz Olivier , Sandoz Romain , Blanc Nicolas , Sokhn Maria , Ingensand Jens , Shabani Shaban , Cotting Alexandre

Partenaires académiques: CE-RaD; VS - Institut Informatique; VS - Institut Tourisme; FIN-RaD; Cotting Alexandre, VS - Institut Informatique

Durée du projet: 01.04.2017 - 31.12.2018

Montant global du projet: 49'300 CHF

Statut: Completed

Designing new & cross-algorithm interaction for building enterprise knowledge

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Evéquoz Florian, VS - Institut Informatique

Financement: CTI; Klewel Sàrl

Description du projet : Klewel enregistre des présentations et les publie sur une plateforme Web. Ce projet vise à améliorer leur référencement pour permettre aux clients un meilleur retour sur investissement, et à Klewel de convertir davantage de clients. Des méthodes innovantes seront développées pour améliorer la qualité des données extraites (Deep Learning sur OCR) et générer automatiquement des mots-clés sémantiques (Active Learning sur ASR et OCR) qui seront exposés aux moteurs de recherche

Research team within HES-SO: Cretton Fabian , Genoud Dominique , Evéquoz Florian , Liu Zhan , Sokhn Maria , Mayoraz Calixte , Treboux Jérôme

Partenaires académiques: VS - Institut Informatique; IDIAP; Evéquoz Florian, VS - Institut Informatique

Durée du projet: 01.09.2016 - 30.09.2018

Montant global du projet: 267'264 CHF

Statut: Completed

Sample Process Creator - ES-ISNET16-02 - SamProC

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Le Calvé Anne, VS - Institut Informatique

Financement: CTI

Description du projet : Chèque Inno pour dévelopement chez Exelop SA

Research team within HES-SO: Cretton Fabian , Liu Zhan , Sokhn Maria , Le Calvé Anne

Partenaires académiques: VS - Institut Informatique; Le Calvé Anne, VS - Institut Informatique

Partenaires professionnels: Exelop SA

Durée du projet: 10.10.2016 - 31.08.2018

Montant global du projet: 7'500 CHF

Statut: Completed

Crowdsourced map based mobile application for the wheelchair accessibility in Switzerland - ISNET 16-01

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Jungius Christiane, VS - Institut Informatique

Financement: HES-SO Rectorat

Description du projet : Based upon the long term Swiss E-Government strategy (E-Government-Strategie Schweiz, 2007), several projects have been launched by the HES-SO to enable public administrations to use the benefits of BPM and increase their BPM maturity. The general acceptance and progress are perceptible, but important impulses have yet to be supplied. This project links directly to an existing project, the ech-bpm platform which was designed to enable public administrations to share and discuss their process models. It's main research goal is to find out, how and to what extent sample processes can be generated using existing BPMN models by analyzing their structure. This project aims at encouraging public administrations to use and adapt supplied sample processes to their specific needs thus harmonizing how tasks are handled in different communes. The second goal is to supply suitable methods for import and export of these models to different modeling tools. This research project facilitates the long term Swiss E-Government strategy. It strengthens the HES-SOs position as a leader in the field of business process management. It creates new options for collaborations with producers of modeling tools.

Research team within HES-SO: Martin Simon , Cretton Fabian , Liu Zhan , Jungius Christiane

Partenaires académiques: VS - Institut Informatique; Jungius Christiane, VS - Institut Informatique

Durée du projet: 01.10.2016 - 30.06.2018

Montant global du projet: 150'000 CHF

Statut: Completed

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Glassey Balet Nicole, VS - Institut Informatique

Financement: HES-SO Rectorat

Description du projet : Les questions et problématiques liées à l'accessibilité constituent un défi de taille pour les entreprises et collectivités publiques. Si l'expression «développement durable» est souvent associée uniquement à son pilier «environnemental», le pilier «social», notamment dans ses aspects d'équité et d'accessibilité aux personnes à mobilité réduite, reste encore souvent inexploré. L'objectif du projet est de permettre aux personnes à mobilité réduite (personnes en situation de handicap, personnes âgées, familles avec poussettes, etc.) de bénéficier d'une plus grande autonomie en ce qui concerne leurs déplacements. En effet, de nos jours, les outils de planification de voyage/déplacement porte-à-porte, proposent des parcours en voiture, en transports publics, à vélo ou encore à pied. Toutefois, aucun renseignement n'est donné concernant des parcours pour une personne à mobilité réduite. Les personnes concernées doivent elles-mêmes entreprendre leurs propres démarches pour obtenir ces informations. Le projet vise à pallier ce gap afin d'améliorer l'espace de vie des personnes à mobilité réduite. Il leur offrira une plate-forme mobile de génération d'itinéraires personnalisés et adaptés à leurs besoins. Cette plate-forme fera usage de données existantes, souvent cloisonnées dans des silos, et sera complétée/validée par des informations directement fournies par la communauté concernée. L'approche de crowdsourcing sera appliquée avec prise en compte de la mise en place innovante du Web des données via shema.org. Ce projet pilote sera étroitement mené avec des acteurs du terrain et testé dans une région touristique pilote du Valais mêlant réalité urbaine et montagne (Sierre - Val d'Anniviers).

Research team within HES-SO: Cretton Fabian , Loubier Jean-Christophe , Liu Zhan , Sokhn Maria , Glassey Balet Nicole , Le Calvé Anne

Partenaires académiques: VS - Institut Informatique; Glassey Balet Nicole, VS - Institut Informatique

Durée du projet: 01.07.2016 - 31.01.2018

Montant global du projet: 164'700 CHF

Statut: Completed

InnoHub

"Sémantique et agrégation de graphes" - Private Innovation Competence Center

Role: Collaborator

Requérant(e)s: VS - Institut Entrepreneuriat & MANAGEMENT

Financement: La Gestion Electronique SA; TechnoArk & Techno-Pôle (T2); Diverses entreprises

Description du projet : L'objectif du projet Innohub est d'aider les entreprises du Valais à augmenter leur compétitivité en leur offrant des outils et méthodologies pour l'innovation des services. Une fois le travail de mise en place méthodologique effectué, le but du projet est de décrocher des mandats spécifiques avec les PME locales pour les accompagner dans cette démarche d'innovation.

Research team within HES-SO: Martin Simon , Fragniere Emmanuel , Hugo Alexandra , Crettol Blaise , Emery Lionel , Latrille Sophie , Genoud Dominique , Bonazzi Riccardo , Grèzes Vincent , Liu Zhan , Kuonen Patrick , Rey Jean-Pierre , Sarrasin Natalie , Varini Kate , Nanchen Benjamin , Ramseyer Randolf

Partenaires académiques: VS - Institut Informatique; VS - Institut Entrepreneuriat & MANAGEMENT

Durée du projet: 01.09.2014 - 31.12.2017

Montant global du projet: 88'944 CHF

Statut: Completed

New trends of Chinese Consumers in Switzerland : A Socail Media Platform Analysis Based on Linked Data - ES-ISNET 14-07

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Le Calvé Anne, VS - Institut Informatique

Description du projet : Dans le cadre du projet « Private Innovation Competence Centre (PICC) », la société Exelop souhaite développer une nouvelle fonctionnalité de recherche basée sur la sémantique linguistique. Cette nouvelle fonctionnalité permettra de créer un nouveau graphe par l'agrégation de graphes (ou sous-graphes) existants dans le système. La fonctionnalité de recherche permet à l'utilisateur d'utiliser des mots-clés pour chercher des correspondances dans les graphes existants, ceci en gérant un enrichissement de la requête notamment par l'ajout automatique de synonymes. Les résultats de la recherche permette de trouver les problèmes et les solutions partielles dans la base de données existante et de créer/agréger un nouveau graphe.

Research team within HES-SO: Cretton Fabian , Grèzes Vincent , Liu Zhan , Sokhn Maria , Le Calvé Anne

Partenaires académiques: VS - Institut Informatique; Le Calvé Anne, VS - Institut Informatique

Durée du projet: 01.04.2016 - 30.06.2016

Statut: Completed

OverLOD Surfer - ES-ISNET 13-09

Role: Collaborator

Financement: HES-SO Rectorat; VS - Institut Informatique; VS - Institut Informatique

Description du projet : This project studies behavior of Chinese consumers in Switzerland by adopting a linked data approach on a Chinese social media platform. We intend to conduct a large-scale analysis with linked data and explore Chinese tourists' attitude and behavior towards Switzerland on Sina Weibo, which has played an important role as a powerful media channel to extend personal networks and informal information sources. We will also conduct some interviewers with key individuals as well as real consumers to provide additional evidence for the findings from Sina Weibo

Research team within HES-SO: Cretton Fabian , Genoud Dominique , Liu Zhan , Sokhn Maria , Glassey Balet Nicole , Le Calvé Anne , Délétroz Nicolas , Treboux Jérôme

Durée du projet: 01.12.2014 - 31.05.2016

Montant global du projet: 187'500 CHF

Statut: Completed

SoDA : Social media Data Analysis - Isnet 13-08

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: HES-SO Rectorat; VS - Institut Tourisme; VS - Institut Entrepreneuriat & MANAGEMENT

Description du projet : Aujourd'hui en Europe et dans le monde les entreprises et les organisations publiques se lancent dans le linked open data (LOD)1. Les acteurs économiques suisses veulent eux aussi saisir la potentialité de cette initiative mais demandent à être guidés sur les retombées possibles pour leur business model, ainsi que sur les outils leur permettant d'exploiter cette nouvelle dimension du Web. Fort de ce constat, ce projet propose tout d'abord d'analyser les modèles d'affaires et applications-clés possibles pour le LOD en suisse. Puis dans un deuxième temps l'outil OverLOD Surfer développera une architecture de composants logiciels et d'interfaces Web qui permettent à un acteur d'exploiter au mieux ses propres données et celles du LOD, en offrant d'une part une couche d'abstraction sur la technologie sous-jacente, complexe et méconnue, d'autre part la possibilité d'optimiser les données pour les acteurs d'un domaine plus spécifique.

Research team within HES-SO: Cretton Fabian , Genoud Dominique , Bonazzi Riccardo , Liu Zhan , Sokhn Maria , Le Calvé Anne , Délétroz Nicolas

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.05.2014 - 31.12.2015

Montant global du projet: 167'500 CHF

Statut: Completed

eGovernment Innovation Center : Pôle de compétence et de recherche national en cyberadministration

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: HES-SO Rectorat; VS - Institut Tourisme; VS - Institut Entrepreneuriat & MANAGEMENT

Description du projet : Platefome d'analyse, de modélisation statistique et de visualisation avancée des informations se trouvant sur les médias sociaux

Research team within HES-SO: Cretton Fabian , Crettol Blaise , Genoud Dominique , Evéquoz Florian , Loubier Jean-Christophe , Larpin Blaise , Grèzes Vincent , Liu Zhan , Le Calvé Anne , Schegg Roland , Nanchen Benjamin , Hunacek Daniel , Treboux Jérôme , Fux Michael

Partenaires académiques: VS - Institut Informatique

Durée du projet: 01.12.2013 - 30.09.2015

Montant global du projet: 211'400 CHF

Statut: Completed

Semi-Automatic BP modeling approach - ES-ISNET13-02

Role: Collaborator

Financement: HES-SO Rectorat; eGovTec; FR - EIA - Institut HumanTech; FR - EIA - Institut HumanTech ; FR - EIA - Institut HumanTech

Description du projet : Nos villes connaissent des changements importants aux niveaux social, économique, organisationnel, dus entre autre à l'évolution technologique rapide, dont il faut tenir compte afin de répondre aux besoins de la collectivité. Le eGov Innovation Center vise à répondre à ces changements en proposant un nouveau concept de ville intelligente, capable de fournir une meilleure qualité de vie à ses habitants et de favoriser la compétitivité de leurs entreprises dans une optique de développement responsable et durable. Sa mission est de fédérer des compétences multidisciplinaires afin de créer la richesse et l'innovation nécessaires pour devenir en collaboration avec ses nombreux partenaires le moteur de cette transformation de nos villes actuelles en "villes intelligentes".

Research team within HES-SO: Martin Simon , Cretton Fabian , Barmaz Xavier , Tscherrig Julien , Gaberel Pascal Eric , Evéquoz Florian , Girod Lehmann Béatrice , Duan Hui , Liu Zhan , Le Calvé Anne , Mugellini Elena , Hunacek Daniel , Crausaz Didier

Partenaires académiques: VS - Institut Informatique; Santé et Social

Durée du projet: 01.01.2012 - 31.08.2015

Montant global du projet: 884'110 CHF

Statut: Completed

Role: Collaborator

Financement: HES-SO Rectorat; VS - Institut Informatique; TI Informatique

Description du projet : La gestion des processus métier ou Business Process Management (BPM) est un moyen qui permet de modéliser les processus qui composent l'activité d'une organisation et d'en automatiser tout ou partie de l'exécution dans la perspective de les améliorer. Le cycle de vie d'un BPM peut être représenté en cinq phases itératives : la conception, la modélisation et simulation, l'exécution, le monitoring et finalement l'optimisation. Un processus mal décrit et/ou ne prenant pas en compte le contexte global dans lequel il sera exécuté peut engendrer des problèmes conséquents voire avoir l'effet inverse de son objectif principal. Il est donc important de bien concevoir un processus.

Research team within HES-SO: Cretton Fabian , Liu Zhan , Sokhn Maria , Maalouf Eliane

Durée du projet: 01.09.2013 - 28.02.2015

Montant global du projet: 187'908 CHF

Statut: Completed

Prix Dalle Molle 2013

MUSYOP - Multi-System Optimisation

Role: Collaborator

Financement: VS - Institut Informatique

Description du projet : Suite du projet MMHS - remise de prix

Research team within HES-SO: Liu Zhan , Glassey Balet Nicole

Durée du projet: 21.10.2013 - 31.12.2014

Montant global du projet: 5'000 CHF

Statut: Completed

OntoManag : Ontologies Management tool

Role: Collaborator

Requérant(e)s: VS - Institut Informatique

Financement: HES-SO Rectorat

Description du projet : Optimisation d'une architecture multisystèmes dans un contexte de traitement de données hétérogènes

Research team within HES-SO: Martin Simon , Cretton Fabian , Liu Zhan , Glassey Balet Nicole , Le Calvé Anne , Cotting Alexandre

Partenaires académiques: VS - Institut Informatique; Digitalisation des organisations

Durée du projet: 01.02.2013 - 31.01.2014

Montant global du projet: 155'300 CHF

Statut: Completed

Role: Collaborator

Requérant(e)s: VS - Institut Informatique, Le Calvé Anne, VS - Institut Informatique

Financement: HES-SO Rectorat

Description du projet : Nous sommes actuellement dans la phase de mise en 'uvre des ontologies dans l'industrie. De plus en plus d'entreprises comprennent l'intérêt et la puissance de telles méthodologies et se tournent vers nos intituts de recherche appliquée pour les intégrer dans leur système. Généralement, cette intégration se fait en repensant entièrement la structuration des informations de l'entreprise sur un domaine et en créant de toutes pièces une ou plusieurs ontologies. Cependant ce processus est très vite complexe et demande beaucoup d'investissement en temps, en argent et en ressources humaines à l'entreprise ce qui freine bon nombre d'entre elles à recourir à notre expertise. Une autre approche serait de pouvoir « pré-sémantiser » les données existantes, c'est-à-dire d'extraire les données utiles à l'ontologie cible, découvrir leur « sens », peupler une ontologie existante et développer à la volée des ontologies plus adéquates.

Research team within HES-SO: Cretton Fabian , Liu Zhan , Le Calvé Anne , Russo David

Partenaires académiques: VS - Institut Informatique; Le Calvé Anne, VS - Institut Informatique

Durée du projet: 01.09.2011 - 31.01.2013

Montant global du projet: 132'300 CHF

Statut: Completed

2022

Trust in the news :

Scientific paper ArODES

a digital labelling solution for journalistic contents

Zhan Liu, Matthieu Delaloye, Nicole Glassey Balet, Sébastien Hersant, Frédéric Gris, Laurent Sciboz

Online journal of communication and media technologies, 2022, vol. 12, no. 2, pp. 1-13

Summary:

Trust has long been considered an important factor that affects the relation between people and news. However, with the increasing amount of information online, as well as new digital tools and services, this relation has changed, everyone can create content, anytime and anywhere. Therefore, being able to identify and distinguish reliable sources of information online becomes a challenge for the public. In this paper, we focus on providing a digital labelling solution for journalistic contents to enhance the readers’ trust in the media by using design science method. Focus group interviews were conducted to examine reader’s trust perceptions in news contents and their opinions on the trust labelling mechanism. Discussion results helped us to build a list of trust indicators which were used in our labelling distribution system for news content evaluation. Finally, we designed and developed an intermedia certification system to distribute the labelling on trust news contents. Obtained evaluation results confirmed the utility of our system and provided support to readers in identification of the reliable news content.

2020

The role of public trust and media in managing the dissemination of COVID-19-related news in Switzerland

Scientific paper ArODES

Zhan Liu, Jialu Shan, Matthieu Delaloye, Jean-Gabriel Piguet

Journalism and media, 2020, vol. 1, no. 1, pp. 145-158

Summary:

Public trust in health information is essential to ensure that preventative strategies to reduce the transmission of COVID-19 are accepted and followed. This study explored the way Swiss people accessed and consumed news and information about the coronavirus from different channels, and the role media plays in public trust during the pandemic. Based on a study of 442 randomly assigned participants in French-speaking regions, we examined the following four questions: (1) What are the news sources and platforms and how are they used? (2) How does the public rate the trustworthiness of these sources and platforms? (3) To what extent does the public perceive that these sources and platforms are provided inaccurate information? (4) What roles do these sources and platforms play in the pandemic? Implications are discussed in the conclusion based on our findings.

2019

CrowDPLoS

Scientific paper

Building a Crowdsourcing based Disabled Pedestrian Level of Service routing application using Computer Vision and Machine Learning

Sandoz Romain, Ertz Olivier, Ingensand Jens, Blanc Nicolas, Liu Zhan, Rojas Diego, Sokhn Maria, Loubier Jean-Christophe

Consumer Communications and Networking Conference, CCNC IEEE, 2019

Summary:

The availability of global and scalable tools to assess disabled pedestrian level of service (DPLoS) is a real need, yet still a challenge in today's world. This is due to the lack of tools that can ease the measurement of a level of service adapted to disabled people, and also to the limitation concerns about the availability of information regarding the existing level of service, especially in real time. This paper describes preliminary results to progress on those needs. It also includes a design for a navigation tool that can help a disabled person move around a city by suggesting the most adapted routes according to the person's disabilities. The main topics are how to use advanced computer vision technologies, and how to benefit from the prevalence of handheld devices. Our approach intends to show how crowdsourcing techniques can improve data quality by gathering and combining up-to-date data with valuable field observations.

2017

Semantic social media analysis of Chinese tourists in Switzerland

Scientific paper ArODES

Zhan Liu, Jialu Shan, Nicole Glassey Balet, Gang Fang

Information technology tourism, 2017, vol. 17, no 2, pp. 183–202

Summary:

In recent years, Sina Weibo, a Twitter-like social network service in China, has attracted attention from scholars in the domain of information systems, as the spread and influence of users’ opinions are increasingly important, particularly in the tourism industry. This study examined the behaviors of Chinese tourists in Switzerland by adopting a semantic-based linked data methodology. A total of 103,778 Weibo messages shared with Swiss locations were collected between January 2013 and April 2015. We addressed questions about Chinese travelers’ profiles, trends in keywords, and differences between first time and repeat visitors. Moreover, we implemented a semantic search engine by employing linked data technologies to provide useful information about Chinese tourists in Switzerland, both for the tourism industry and individual tourists.

2016

The role of personalized services and control :

Scientific paper ArODES

an empirical evaluation of privacy calculus and technology acceptance model in the mobile context

Zhan Liu, Jialu Shan, Yves Pigneur

Journal of information privacy and security,

Summary:

The last few years have witnessed an explosive growth in the use of smartphones. Such widespread use brings with it concerns over the protection of privacy. Building upon existing privacy concern literature, this study has developed a theoretical framework that combines privacy calculus model with a technology acceptance model (TAM) in the mobile application context. Also examined is the role of personalized services and users’ perceived information control in this domain. Based on a study of 308 participants, the results reveal that perceived enjoyment has replaced perceived ease-of-use as a main predictor of perceived behavioral intentions in a mobile TAM. The findings also showed that personalized services and users’ perceived information control have a strong effect on both privacy calculus and mobile TAM.

Privacy-based adaptive context-aware authentication system for personal mobile devices

Scientific paper ArODES

Zhan Liu, Riccardo Bonazzi, Yves Pigneur

Journal of mobile multimedia, April 2016, vol. 12, no. 1-2, pp. 159-180

Summary:

Over the past decade, mobile devices such as smartphones have become increasingly common as a form of handheld computing platform. The use of mobile applications on these mobile devices is experiencing unprecedented rates of growth. However, when using mobile applications, users are often requested to give context information. Such requests have led to growing privacy concerns. This paper proposes the use of context-awareness to improve single sign-on (SSO) solutions so that mobile users can protect their private information. A privacy-based adaptive SSO (ASSO) may be able to increase users’ perceived ease of use of the system and give service providers the necessary authentication security for their applications. The study was based on data gathered from 168 participants as part of the Lausanne Data Collection Campaign. This was led by the Nokia research center in Switzerland and used Nokia N95 phones. The analysis of SVM showed our expectations to be correct. Consequently, a new business model for mobile platforms has been proposed to reinforce our claim that privacy-friendly value propositions are possible and can be used to obtain a competitive advantage.

2015

Linked data based framework for tourism decision support system :

Scientific paper ArODES

case study of chinese tourists in Switzerland

Zhan Liu, Anne Le Calvé, Fabian Cretton, Nicole Glassey Balet, Maria Sokhn, Nicolas Délétroz

Journal of computer and communications, vol. 3, no. 5, pp. 118-126

Zhan Liu, Nicole Glassey Balet

Summary:

Switzerland is one of the most desirable European destinations for Chinese tourists; therefore, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform—Sina Weibo, a hybrid of Twitter and Facebook—has more than 600 million users. Weibo’s great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. In order to offer a better decision support platform to tourism destination managers as well as Chinese tourists, we proposed a framework using linked data on Sina Weibo. Linked Data is a term referring to using the Internet to connect related data. We will show how it can be used and how ontology can be designed to include the users’ context (e.g., GPS locations). Our framework will provide a good theoretical foundation for further understand Chinese tourists’ expectation, experiences, behaviors and new trends in Switzerland.

2022

Bringing big data into media :

Conference ArODES

a decision-making model for targeting digital news content

2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD)

Summary:

The purpose of this study is to investigate how big data analytics technology affects decision-making in the media industry, with a focus on digital newspapers. To achieve this goal, we propose a decision-making model to identify the relationship between audiences and news topics using big data analysis and classification, intending to help news practitioners optimize their marketing strategies. To evaluate our model, we conducted a case study using a Swiss local newspaper. Preliminary results indicate that audience reading time and volume have been significantly increased after implementing the decision that based on the model’s analysis. The study also provides some guidelines for editors and journalists to target their digital news content.

A collaborative intelligence approach to fighting COVID-19 false news :

Conference ArODES

a Chinese case

Zhan Liu, Shaban Shabani, Xianyun Yu, Maria Sokhn, Nicole Glassey Balet

Human centred intelligent systems : proceedings of KES-HCIS 2022 conference

Summary:

The rapid outbreak of COVID-19 has heightened interest in news about the pandemic. In addition to obtaining real-time developments about COVID-19, people have learned about prevention methods through the news media. Ironically, false COVID-19 news has spread faster than the virus, posing an additional health threat with advice being as dangerous as infection. In this study, we developed a Chinese news article dataset on COVID-19 misinformation, which contained 1266 verified articles from 118 Chinese digital newspaper platforms from January 2020 to January 2021. This dataset uses machine learning methods to detect false news in the Chinese language. Because automated classification methods, combined with human computation-based approaches, are effective for combating digital misinformation, we applied and evaluated a collaborative intelligence approach that leverages human fact-checking skills with feedback on news stories using four criteria: source, author, message, and spelling. The results show that reliable human feedback can help detect false news with high accuracy.

2020

The impact of labelling journalistic content on readership

Conference ArODES

Zhan Liu, Matthieu Delaloye, Nicole Glassey Balet, Laurent Sciboz

Proceedings of the 12th edition of NEM Summit 2020

2019

Detection of satiric news on social media: analysis of the phenomenon with a French dataset

Conference ArODES

Zhan Liu, Shaban Shabani, Nicole Glassey Balet, Maria Sokhn

Proceedings of the 28th International Conference on Computer Communication and Networks (ICCCN) 2019

Summary:

The topic of deceptive and satiric news has drawn attention from both the public and the academic community, as such misinformation has the potential to have extremely adverse effects on individuals and society. Detecting false and satiric news automatically is a challenging problem in deception detection, and it has tremendous real-word political and social influences. In this paper, we contribute a useful French satiric dataset to the research community and provide a satiric news detection system using machine learning to automate classifications significantly. In addition, we present the preliminary results of our research designed to discriminate real news from satiric stories, and thus ultimately reduce false and satiric news distribution.

Building a crowdsourcing based disabled pedestrian level of service routing application using computer vision and machine learning

Conference ArODES

Nicolas Blanc, Zhan Liu, Olivier Ertz, Diego Rojas, Romain Sandoz, Maria Sokhn, Jens Ingensand, Jean-Christophe Loubier

Proceedings of 2019 16th IEEE Annual consumer communications & networking conference (CCNC), 11-14 January 2019, Las Vegas, USA

Summary:

The availability of global and scalable tools to assess disabled pedestrian level of service (DPLoS) is a real need, yet still a challenge in today’s world. This is due to the lack of tools that can ease the measurement of a level of service adapted to disabled people, and also to the limitation concerns about the availability of information regarding the existing level of service, especially in real time. This paper describes preliminary results to progress on those needs. It also includes a design for a navigation tool that can help a disabled person move around a city by suggesting the most adapted routes according to the person’s disabilities. The main topics are how to use advanced computer vision technologies, and how to benefit from the prevalence of handheld devices. Our approach intends to show how crowdsourcing techniques can improve data quality by gathering and combining up-to-date data with valuable field observations.

2018

A multi-criteria decision making approach for ranking wheelchair accessible tourism

Conference ArODES

Afaf Merazi, Zhan Liu, Nicole Glassey Balet, Camille Pellaton

Proceedings of Digital, Innovation, Entrepreneurship & Financing (DIF 2018)

Summary:

WeMap, a semantic linked data technology-based solution, helps people with mobility disabilities to plan their travels with a door-to-door concept by pointing out its obstacles. It aims to increase the autonomy and ensure the safe movement by preventing a number of incidents on public roads. However, the suitable approach to determine which city is much more wheelchair friendly than others are still fuzzy. This paper evaluates and ranks the wheelchair accessible tourism by applying a multi-criteria decision making method with the datasets from two Swiss cities.

Semantic network visualization of cultural heritage data

Conference ArODES

Shaban Shabani, Zhan Liu, Maria Sokhn

Proceedings of the 1st International Workshop on Knowledge Graphs on Travel and Tourism : Full-day workshop at the 18th International Conference on Web Engineering (ICWE 2018)

Summary:

Advancement of digital technologies have helped the cultural heritage (CH) organizations such as archives, libraries, and museums to digitize their data collections and improve the accessibility to them. Over the past years various approaches have been developed to enable the visualization of the CH data. In this paper, we present a use case on annotation, linking, visualization and browsing of CH data and suggest some directions to achieve tangible visual analysis. We introduce the semantic linked data search and the method of connected concepts to enhance the users experience when searching for historical data.

When smart comes to town :

Conference ArODES

a mobile platform for smart district services

Gianluca Rizzo, Zhan Liu

Proceedings of the15th IEEE Annual Consumer Communications & Networking Conference (CCNC) 2018

Summary:

In this work, we demonstrate the feasibility and the main functionalities of a low-cost, nomadic platform for Smart District services. The goal of the platform is to enable the extension of Smart City services to smaller cities, to towns and into the countryside, bypassing the natural barriers through the use of services and vectors which are naturally cross-domain, such as public transportation vehicles, and moving people. the platform is based on mobile and opportunistic sensing, on crowdsensing, and on strategies for community engagement and co-creation mediated by a map-based crowdsourcing application. The demo will showcase the main components of the system, as well as a sample set of Smart District services supported by the platform.

How to motivate participation and improve quality of crowdsourcing when building accessibility maps

Conference ArODES

Zhan Liu, Shaban Shabani, Nicole Glassey Ballet, Maria Sokhn, Fabian Cretton

Proceedings of the 3rd Workshop on Accessible Devices and Services (ADS) in the IEEE Consumer Communications & Networking Conference 2018

Summary:

Crowdsourcing, as one of the most promising tech-niques for distributed problem-solving, requires sustained human involvement. Therefore, it also brings new challenges to data management, fundamentally data input and its quality. In this paper, we looked at various forms of user motivations and quality control of crowdsourcing when building accessibility maps mobile applications. We discuss how motivations could be used to contribute to our accessibility maps scenarios, and how data can be improved for two types of participants: individual participants and organization participants. We identified three useful techniques for improving data quality: qualification-based, reputation-based, and aggregation-based. In addition, based on our own mobile application (named WEMAP), we evaluated our approaches through focus group discussions and in-depth interviews.

2017

Enhancing cultural heritage data through selective crowdsourcing

Conference ArODES

Alex C. Olivieri, Shaban Shabani, Zhan Liu, Maria Sokhn

Proceedings of International Conference on Advanced Computer Science and Information Systems (ICACSIS) 2017

Zhan Liu, Nicole Glassey Balet, Maria Sokhn, Eline De Gaspari

Summary:

Crowdsourcing, or asking for general participation to help contribute to shared goals, has become popular in the cultural heritage domain. However, it also brings new challenges to data quality management. In this paper, we describe a novel approach that used selective crowdsourcing to increase quality control and the number of participants when collecting cultural heritage-related data. We tested our approach in scenarios using a mobile application for cultural heritage travellers. The results showed that the selective crowdsourcing approach can be applied well to complete information and resolve conflict in cultural heritage data.

Crowdsourcing-based mobile application for wheelchair accessibility

Conference ArODES

Proceedings of the 32nd Annual International Technology and Persons with Disabilities Conference Scientific/Research

Summary:

Creating an optimal travel plan is not an easy task, particularly for people with mobility disabilities, for whom even simple trips, such as eating out in a restaurant, can be extremely difficult. Many of their travel plans need to be made days or even months in advance, including the route and time of day to travel. These plans must take into account ways in which to navigate the area, as well as the most suitable means of transportation. In response to these challenges, this study was designed to develop a solution that used linked data technologies in the domains of tourism services and e-governance to build a smart city application for wheelchair accessibility. This smart phone application provides useful travel information to enable those with mobility disabilities to travel more easily.

2016

Tourists traits analysis on social networks

Conference ArODES

Shengjing Sun, Zhan Liu, Carlos A. Iglesias, Nicole Glassey Balet

Proceedings of the 6th International Conference on Tourism (ICOT) 2016

Summary:

The travel and tourism industry is flourishing worldwide. It is vital for tourism-related supplier and markers to understand tourist traits in order to target tourism consumers and further assist decision makings. With the development of social networks, tourists published large quantities of travel experiences on social networks where they disclose their traits explicitly and implicitly. In this paper, we design a methodology for tourism traits analysis based on social networks, which includes three components: tourist demographic analysis, tourist social influences analysis, and tourist behavior analysis. Sina Weibo based Chinese tourists in Switzerland analysis is as a case study for our methodology, and different findings are obtained. Those findings are beneficial to tourism-related suppliers and markers to make valuable strategies. And our proposed methodology could be applied to analyze tourist traits in any social network platform.

City eye :

Conference ArODES

accessibility for all

Zhan Liu, Sokhn Maria, Anne Le Calvé, Roland Schegg

Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (ICEGOV '15-16)

Summary:

In today’s world, making a good travel plan is not an easy task for most people. However, the situation is even more complicated for people with disabilities. For them, even simple trips, such as travelling to visit a museum or an exposition, have become extremely difficult. A wide variety of travel planning needs to be made days or months in advance, such as where, when, and how to travel, as well as how to get around and how to choose a suitable means of transportation. As a response in this ongoing project, our intention is to apply our proposed solution of linked data technologies in the domains of tourism services and e-governance to build a smart city. In particular, we want to provide useful travel information to people with disabilities and to make their travelling easier.

City eye :

Conference ArODES

accessibility for all

Zhan Liu, Anne Le Calvé, Maria Sokhn, Roland Schegg

Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (ICEGOV)

Fabian Cretton, Zhan Liu, Anne Le Calvé

Summary:

2015

Linked data integration and consumption :

Conference ArODES

a case of open-interconnected application in swiss administration

Proceedings of international conference on semaintic web business and innovation (SWBI2015)

Zhan Liu, Anne Le Calvé, Nicole Glassey Balet

Summary:

Building government services with an interconnected administration approach is a worldwide trend aimed to solve the complexity of government-related processes. The connection between people and services relies on technical tools that could benefit from improvements at the data level, by more easily sharing and having a better interlinking of data from different sources. Linked data technologies have been developed to fulfill this universal need at the World Wide Web scale, and evolve it into a web of data. In this study, we move along the data lifecycle from linked data access onto its consumption and up to the design of end-users applications. As technologies for linked data publication are already at an advanced stage, we focus on the features needed for linked data consumption and present the framework we implemented in the “OverLOD Surfer” project. We apply the solution to our former work in eGovernment and semantic business process management to strengthen our assertion that the web of data approach is effective in supporting the realization of applications for an interconnected administration.

Exploring the new trends of Chinese tourists in Switzerland

Conference ArODES

Proceedings of the 65th Association Internationale d'Experts Scientifiques du Tourisme (AIEST) Conference

Riccardo Bonazzi, Zhan Liu

Summary:

Switzerland is one of the most desirable European destinations for Chinese tourists, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform – Sina Weibo, has more than 600 million users. Weibo’s great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. The goal of this research is to understand Chinese tourists’ behaviors and patterns in Switzerland by adopting a linked data approach on Sina Weibo, and to design a decision support system based on the findings.

Two birds with one stone :

Conference ArODES

an economically viable solution for linked open data platforms

Proceedings of the 28th BLED eConference