Tourism as Mass-media: a suitable global Tool acting locally - a possible Option to appraise the European Heritage on the 21st Century

During the sixties, tourism has turned into a mass movement. By comparison with the mass media, we can identify all basic characteristics of the latter: a location where the message is elaborated to be then spread through specific channels of distribution bearing in mind the same goals. Moreover, tourism as mass media allows the "target" to check the information on location during the trip, a kind of feed back that makes the information the more trustworthy. Virtual tourism has brought new challengesmass media, tourism, virtual tourism

Automatic correction of timestamp and location information in digital images

Image storage and sharing services permit users to store and share images. Such applications typically organize images chronologically. However, chronological organization fails if the timestamp or location information stored in the image metadata (e.g., EXIF) is incorrect. Incorrect information is a common problem, e.g., when images are shared via messaging or social media, the shared image may have the time of sharing, not the time of capture. In another example, geolocation data may be deleted when an image is shared. Further, image timestamps can be inaccurate when multiple users contribute images to a single shared album from cameras that are not time synchronized. This disclosure describes techniques to determine the time and/or location of image capture by evaluating the image in the context of other images. Images with trustworthy time information are identified. Images with less trustworthy information are analyzed for content, and a determination is made as to whether they are ahead or behind a trustworthy image. In this manner, techniques of this disclosure enable chronological ordering of images

Hierarchical Trustworthy Authentication for Pervasive Computing

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An Architecture for User-managed Location Sharing in the Future Internet of Services

Paper of: The 4th International Workshop on Trustworthy Internet of People, Things & Services, co-located with the Internet of Things 2010 Conference, November 29 to December 1, 2010, Tokyo, JapanIn this paper we analyse the problem of providing an user-managed system for sharing the user’s location information in the Future Internet of Services, and propose some architectural mechanisms to support this kind of system. Our approach is based on the work done within Kantara’s UMA WG. Furthermore, we highlight open issues that still need to be addressed in location information sharing scenarios.Enviad

Trust-Based Fusion of Untrustworthy Information in Crowdsourcing Applications

In this paper, we address the problem of fusing untrustworthy reports provided from a crowd of observers, while simultaneously learning the trustworthiness of individuals. To achieve this, we construct a likelihood model of the userss trustworthiness by scaling the uncertainty of its multiple estimates with trustworthiness parameters. We incorporate our trust model into a fusion method that merges estimates based on the trust parameters and we provide an inference algorithm that jointly computes the fused output and the individual trustworthiness of the users based on the maximum likelihood framework. We apply our algorithm to cell tower localisation using real-world data from the OpenSignal project and we show that it outperforms the state-of-the-art methods in both accuracy, by up to 21%, and consistency, by up to 50% of its predictions. Copyright © 2013, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved