context aware retrieval going social

In this paper we present the Social Context-Aware Browser, a general purpose solution to Web content perusal by means of mobile devices. This is not just a new kind of application, but it is a novel approach for the information access based on the users' context. With the aim of overtaking the limits in current approaches to context-awareness, our solution exploits the collaborative efforts of the whole community of users to control and manage contextual knowledge, related both to situations and resources. This paper presents a general survey of our solution, describing the idea and some scenarios, presenting the model to information access, open problems and future challenges

Context Aware Browser

I will present the Context Aware Browser, a novel paradigm for context-aware access to Web contents with mobile devices. The idea is to allow automatic download of Web pages, and even automatic execution of Web applications, on user\u27s own mobile device. The Web resources are not simply pushed on the mobile device; rather, they are selected on the basis of the context the user is in: context data (mainly location, but not only) are used to build a query sent to an external search engine, that selects the most relevant Web content. I will describe the idea, provide some examples, show a video of a recently built prototype, present implementation issues, discuss our specific evaluation methodology and the results, and sketch future work and problems. This is an ongoing project, started about five years ago; it is joint work with the Context Aware and Mobile Systems laboratory (smdc.uniud.it) and the MoBe spinoff (www.mobe.it) at Udine University

Tecniche di rilievo 3D in territori complessi con zone ad elevato rischio idrogeologico. Condivisione in rete di dataset ad alta risoluzione (derivati da dati LiDAR)

Uno dei principali effetti indotti dai cambiamenti climatici osservabili nel territorio nazionale è la localizzazione di fenomeni meteorologici di eccezionale intensità in aree ristrette. Accade che disastri naturali (quali alluvioni e inondazioni) stiano assumendo in molte zone d’Italia – ma non solo – una periodicità assai più elevata rispetto al passato. Il contributo descrive una prima applicazione di condivisione in rete di dataset ad alta risoluzione (derivati da dati LiDAR) impiegata in aree di studio della Regione Veneto caratterizzate da un significativo rischio idrogeologico, nonché dai conseguenti dissesti territoriali. Nello specifico la ricerca propone una nuova modalità di gestione di dati 3D (nuvole di punti, mesh …), di trasmissione e di visualizzazione degli stessi via internet. Si ritiene che tale tecnologia possa essere considerata uno strumento di rapido supporto alle decisioni e al tempo stesso di archiviazione e consultazione ex post dei dati raccolti in fase critica. Il valore aggiunto desumibile dal primo caso test delle provincie di Verona e Vicenza (cfr. esondazioni dei Torrenti Tramigna, Alpone, Aldegà e Chiampo del 2010) risiede nella rapidità di integrazione tra il rilievo 3D dell’area oggetto dell’evento calamitoso e i diversi livelli informativi disponibili.One of the main consequences of climate changes in Italy is the occurrence of meteorological phenomena of outstanding intensity in small areas. In many of them natural disasters (floods and flash floods, for instance) are becoming more frequent. The paper aims at describing a first attempt to apply a high resolution dataset web sharing tool (using LiDAR data) to case study areas located in the Veneto region. Such areas are characterized by a high hydrogeological risk and by territorial instability. Our research suggests a new way of managing 3D data (point clouds, mesh..) as well as of transmitting and visualizing them via internet. Such a technology represents a flexible tool allowing to rapidly support decisions and store/consult ex-post data obtained in crucial phases of the phenomena studied. Our research provides a general and enabling methodology for a rapid integration of 3D surveys of areas involved in disasters (in our case the one hit by the autumn 2010 floods caused by the Torrenti Tramigna, Alpone, Aldegà and Chiampo) and different available layers. The added value of our proposal, gathered from the first tests carried out on the Provinces of Verona and Vicenza, lies in this and in the quick interrogation of data and interactions

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

Collaborative Annotation for Context-Aware Retrieval

We discuss how collaborative annotations can be exploited to simplify and improve the management of context and resources in the context-aware retrieval field. We apply this approach to our Context Aware Browser, a general purpose solution to Web content perusal by means of mobile devices, based on the user’s context. Instead of relying on a pool of experts and on a rigid categorization, as it is usually done in the context-aware field, our solution allows the crowd of users to model, control and manage the contextual knowledge through collaboration and participation. We propose two models and we outline an example of application. 1