Liliana Ardissono

Prof. Liliana Ardissono

University of Torino, Department of Computer Science
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2003 in Applied Artificial Intelligence
Verified
Journal Article
Closed access
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
AGAnna Goy
Anna Goy
GPGiovanna Petrone
Giovanna Petrone
MSMarino Segnan
Marino Segnan
PTPietro Torasso
Pietro Torasso
This paper presents INTRIGUE, a prototype tourist-information server that presents information about the area around Turin City, Italy, on desktop and hand held devices.This system recommends sightseeing destinations and itineraries by taking into account the preferences of heterogeneous tourist groups (such as families with children or the elderly) and explains the recommendations by addressing the group members' requirements. Moreover, the system provides an interactive agenda for scheduling the tour. The services offered by INTRIGUE rely on user modeling and adaptive hypermedia techniques; furthermore, XML-based technologies support the generation of the user interface and its adaptation to Web browsers and WAP minibrowsers.

18 October 2011 in User Modeling and User-Adapted Interaction
Verified
Journal Article
Open access
PDF file
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
TKTsvi Kuflik
Tsvi Kuflik
DPDaniela Petrelli
Daniela Petrelli
Over the last 20 years, cultural heritage has been a favored domain for personalization research. For years, researchers have experimented with the cutting edge technology of the day; now, with the convergence of internet and wireless technology, and the increasing adoption of the Web as a platform for the publication of information, the visitor is able to exploit cultural heritage material before, during and after the visit, having different goals and requirements in each phase. However, cultural heritage sites have a huge amount of information to present, which must be filtered and personalized in order to enable the individual user to easily access it. Personalization of cultural heritage information requires a system that is able to model the user (e.g., interest, knowledge and other personal characteristics), as well as contextual aspects, select the most appropriate content, and deliver it in the most suitable way. It should be noted that achieving this result is extremely challenging in the case of first-time users, such as tourists who visit a cultural heritage site for the first time (and maybe the only time in their life). In addition, as tourism is a social activity, adapting to the individual is not enough because groups and communities have to be modeled and supported as well, taking into account their mutual interests, previous mutual experience, and requirements. How to model and represent the user(s) and the context of the visit and how to reason with regard to the information that is available are the challenges faced by researchers in personalization of cultural heritage. Notwithstanding the effort invested so far, a definite solution is far from being reached, mainly because new technology and new aspects of personalization are constantly being introduced. This article surveys the research in this area. Starting from the earlier systems, which presented cultural heritage information in kiosks, it summarizes the evolution of personalization techniques in museum web sites, virtual collections and mobile guides, until recent extension of cultural heritage toward the semantic and social web. The paper concludes with current challenges and points out areas where future research is needed.

1 January 2004
Verified
Book Chapter
Closed access
PDF file
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
CGCristina Gena
Cristina Gena
PTPietro Torasso
Pietro Torasso
FBFabio Bellifemine
Fabio Bellifemine
ADAngelo Difino
Angelo Difino
BNBarbara Negro
Barbara Negro

Verified
Journal Article
Open access
PDF file
Efstathios AdamopoulosEfstathios Adamopoulos
Efstathios Adamopoulos
Fulvio RinaudoFulvio Rinaudo
Fulvio Rinaudo
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
Techniques for the three-dimensional digitization of tangible heritage are continuously updated, as regards active and passive sensors, data acquisition approaches, implemented algorithms and employed computational systems. These developments enable higher automation and processing velocities, increased accuracy, and precision for digitizing heritage assets. For large-scale applications, as for investigations on ancient remains, heritage objects, or architectural details, scanning and image-based modeling approaches have prevailed, due to reduced costs and processing durations, fast acquisition, and the reproducibility of workflows. This paper presents an updated metric comparison of common heritage digitization approaches, providing a thorough examination of sensors, capturing workflows, processing parameters involved, metric and radiometric results produced. A variety of photogrammetric software were evaluated (both commercial and open sourced), as well as photo-capturing equipment of various characteristics and prices, and scanners employing different technologies. The experimentations were performed on case studies of different geometrical and surface characteristics to thoroughly assess the implemented three-dimensional modeling pipelines.

14 May 2007
Verified
Book Chapter
Closed access
PDF file
AGAnna Goy
Anna Goy
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
GPGiovanna Petrone
Giovanna Petrone

1 December 2000 in User Modeling and User-Adapted Interaction
Verified
Journal Article
Closed access
PDF file
Liliana ArdissonoLiliana Ardissono
Liliana Ardissono
AGAnna Goy
Anna Goy