1,721,018 research outputs found
Selecting People for Involving Them in Participatory Decision-Making Processes
No full textInclusive e-government is challenged by the limited participation of generic citizens. In order to address this issue, we propose to exploit the online services offered by the Public Administration (which support the establishment of direct relations with the population) for identifying people who might be motivated to contribute at decision making on the basis of their information interests. We propose an application supporting the analysis of users' interests from the usage data collected by public online services and a direct interaction with the selected individuals. This application will be used for involving people in a few participatory processes to be carried out in Provincia di Torino (Italy)
Exploiting user models for personalizing news presentations
No full textThis paper presents a framework for the generation of adaptive hypertexts for accessing on-line news servers. News servers contain huge amount of information, concerning different subjects. The aim of our system is to present the most appropriate set of news (and advertisements) to each user, choosing the "right" detail level for each news item. This is obtained by using knowledge representation, user modeling and flexible hypermedia techniques
Strategies for personalizing the access to news servers
No full textIn this paper we discuss how we applied personalization techniques to the problem of accessing news servers on the internet. We describe the user modeling techniques that we adopted and we show that imposing a (shallow) structure to the database of news allowed us to dene strategies for personalizing the detail level of the presentation
"Semantic Spatial Representation and Collaborative Mapping in Urban and Regional Planning: The OnToMap Community Project"
No full textThis chapter focuses on the theme of the spatial representation of cities and the territory and the collaborative construction of territorial knowledge. The described research concerns the “OnToMap. Mappe di Comunità 3.0” project, focused on the definition of a methodology that implements a semantic representation of territory. That type of representation supports the description of big and open data and of its properties in a unified language. OnToMap enables the sharing of information on the web by providing an integrated perspective on territorial data, as demonstrated in an experimentation with Ph.D. students of the Politecnico di Torino. OnToMap is also part of the H2020 funded project WeGovNow, based on the integration of GIS tools, VGI practices and Web 3.0 applications: an example of citizens’ involvement in the urban redevelopment process of Parco Dora in Turin, which aims was make more inclusive (in terms of empowerment) and efficient urban planning policies
Community Mapping for Participatory Decision-Making Processes
No full textCommunity mapping is being increasingly used to support crowdsourcing in participatory decision-making processes but the collection of feed-back is usually carried out in textual form. We describe a proposal for the management of 3D Community Maps which provide a virtual representation of the territory and enable users to contribute to policy making by sharing different types of contributions, such as comments, documents and 3D models. The paper discusses user requirements and personalization aspects in this type of application
Personalised community maps
Full text linkWith the convergence of geographical information systems (GIS) and internet technology, the public administration is starting to use online maps as a web-based bidirectional communication channel with the population: maps are used: i) in public portals, for publishing and crowdsourcing information about the territory; ii) in policy-making, for defining a community vision of the territory and for involving people in public choices. Both cases raise challenges related to the large amount of data handled in the maps, and to their lack of group collaboration support. We attempted to address these issues by developing an information-sharing model, and a testbed software application, that support group management and the generation of persistent, custom community maps focused on the user's interests. Our model builds on tag-based user profiles and on information filtering. This paper describes our model and the results of an evaluation of the GroupMapping application, based on it
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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