1,720,975 research outputs found
CITY FEED: A pilot system of citizen-sourcing for city issue management
No full textCrowdsourcing implies user collaboration and engagement, which fosters a renewal of city governance processes. In this article, we address a subset of crowdsourcing, named citizen-sourcing, where citizens interact with authorities collaboratively and actively. Many systems have experimented citizen-sourcing in city governance processes; however, their maturity levels are mixed. In order to focus on the service maturity, we introduce a city service maturity framework that contains five levels of service support and two levels of information integration. As an example, we introduce CITY FEED, which implements citizen-sourcing in city issue management process. In order to support such process, CITY FEED supports all levels of the maturity framework (publishing, transacting, interacting, collaborating, and evaluating) and integrates related information relationally and heterogeneously. In order to integrate heterogeneous information, it implements a threefold feed deduplication mechanism based on the geographic, text semantic, and image similarities of feeds. Currently, CITY FEED is in a pilot stage
A Pilot Crowdsourced City Governance System: CITY FEED
No full textCrowdsourcing typically implies user collaboration and engagement, to foster participation in city governance process. In order to evaluate the level of crowdsourcing, we introduce a framework on the maturity of municipal services. Also we introduce CITY FEED, that implements crowdsourced city governance process and crowdsourced data integration. CITY FEED has been deployed as a pilot in Pavia, Italy
Delivering Knowledge to the Mobile Enterprise Implementation Solutions for a Mobile Business Intelligence.
No full textAlmost all large companies analyze their performances through KPIs that are processed by Business Intelligence (BI) systems. Specifically, BI is a critical supporting system in service industry where even a little improvement in efficiency allows you to win the competition. It implies a continuous research of excellence in BI, exploiting all technologies supporting the whole infor-mation life cycle – collection, processing and distribution. Specifically, within information distribution, mobile devices have increased BI usability, since deci-sion makers can track performance whenever (at any time) and wherever (they do not need to sit at their desk).
This paper also illustrates the implementation of a mobile BI system in a cus-tomer care company. Our system uses a service-oriented architecture to inte-grate existing BI systems and our framework allows delivering a cross-platform mobile application to end users. Finally, we summarize the benefits given by a mobile BI solution in small and medium enterprises
Mobility Service Systems: guidelines for a possible paradigm and a case study A research in progress
No full textService Level Management (SLM) in Cloud Computing
No full textThe key issue in cloud computing in enterprises is the management of the Quality of Service (QoS), by an appropriate SLM (Service Level Management). Cloud Service Provider are offering SLMs to their users. We think that a third party SLM can be a better way to assure a robust and equal SLM. This paper presents the elements of third party SLM, namely Cloud Service Registration Agent, Negotiation Agent, Compensation Agent, Comment Agent, Billing Agent and Service Monitoring Engine. Such framework has been tested in a real life case. Results show that third party SLM is not only equal, but also dependable and reasonably easy to implement
Integrated Mobility: a research in progress, CAMAN 2013, Wuhan, China
No full textWe here present an ongoing research project about an integrated real time mobility assistant, which has been developed
for the call “Personal Integrated Mobility” of the EU framework program. The assistant is aimed to support personal mobility in a near future scenario, where green, shared or public transports
are replacing the current private, carbon transportation system.nThe assistant handles itineraries, which are based on goals of time, energy/pollution and cost, and supports users both beforenand during the trip. The service will gather and interpret any relevant source of information on transport resources and theirnavailability. Information includes user generated content andnsocial data. Given the globalization of users and the hourly peaks of mobility, the assistant is a cloud service, which integratesexisting technologies; however a global extension requires a federation of clouds and, above all, the interpretation andnvalidation of social data. These can be considered major research challenge
CITY FEED: a Crowdsourcing System for City Governance
No full textIn city governance, participation and engagement of stakeholders are a critical issue. Many researches use crowdsourcing to foster such participation and collaboration. To make sure that such support is complete, an evaluation grid shall be developed. To serve such need, we introduce a framework to assess the maturity of crowd-sourced municipality services. To show a structured example of crowd based city governance, we present CITY FEED, a system consisting of transactional and analytical modules. CITY FEED has been designed, implemented and deployed as a pilot in Pavia, Italy
Social data analysis framework in Cloud and Mobility Analyzer for Smarter Cities
No full textOne emerging and challenging issue in Smarter Cities is Mobility. In order to gather mobility data for relevant analyses, two solutions are widely discussed, namely the conventional standardized infrastructure sensors and the novel social sensing solution. However infrastructure sensors solution is too costly, that is unfeasible for every city. On the contrast, social sensing is a renewal approach, by which people perform “sensory data” collection tasks. In order to widely conduct the second solution and meet various needs of cities, it requires the ability to 1) support various social data sources, 2) be scalable, customizable and configurable, and 3) use cost-efficient IT resources. However current research cannot overcome these challenges. Therefore, this paper presents a social sensing data analysis framework in cloud for smarter cities, especially to support smart mobility. As a case study, Mobility Analyzer, a subsystem of IRMA (Integrated Real-time Mobility Assistant, that is a pilot project of Pavia, Italy), is implemented
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