426 research outputs found
WARP: A ICN architecture for social data
Social network companies maintain complete visibility and ownership of the
data they store. However users should be able to maintain full control over
their content. For this purpose, we propose WARP, an architecture based upon
Information-Centric Networking (ICN) designs, which expands the scope of the
ICN architecture beyond media distribution, to provide data control in social
networks. The benefit of our solution lies in the lightweight nature of the
protocol and in its layered design. With WARP, data distribution and access
policies are enforced on the user side. Data can still be replicated in an ICN
fashion but we introduce control channels, named \textit{thread updates}, which
ensures that the access to the data is always updated to the latest control
policy. WARP decentralizes the social network but still offers APIs so that
social network providers can build products and business models on top of WARP.
Social applications run directly on the user's device and store their data on
the user's \textit{butler} that takes care of encryption and distribution.
Moreover, users can still rely on third parties to have high-availability
without renouncing their privacy
Archiving the Relaxed Consistency Web
The historical, cultural, and intellectual importance of archiving the web
has been widely recognized. Today, all countries with high Internet penetration
rate have established high-profile archiving initiatives to crawl and archive
the fast-disappearing web content for long-term use. As web technologies
evolve, established web archiving techniques face challenges. This paper
focuses on the potential impact of the relaxed consistency web design on
crawler driven web archiving. Relaxed consistent websites may disseminate,
albeit ephemerally, inaccurate and even contradictory information. If captured
and preserved in the web archives as historical records, such information will
degrade the overall archival quality. To assess the extent of such quality
degradation, we build a simplified feed-following application and simulate its
operation with synthetic workloads. The results indicate that a non-trivial
portion of a relaxed consistency web archive may contain observable
inconsistency, and the inconsistency window may extend significantly longer
than that observed at the data store. We discuss the nature of such quality
degradation and propose a few possible remedies.Comment: 10 pages, 6 figures, CIKM 201
Web-based applications for open display networks : developers’ perspective
Open Display Networks represent a new paradigm for large scale networks of public displays that are open to applications and content from third parties. Web technologies may be particularly interesting as a technological framework for third-party application development in Open Display Networks because
of their portability and widespread use. However, there are also significant challenges involved that result from the specificities of this particular usage domain and the lack of specific development insights for this context. In this work, we address the concept of public display application (display app) from a development perspective. The overall goal of this paper is to identify and characterize some of the key specificities of display applications and the appropriate Web solutions that can serve in the development of this type of application. The contribution of this paper builds on our extensive experience with the application development for a real world public display infrastructure and also on a short-term experiment with third party developers. Overall, the results show that Web technologies are valuable building blocks for public displays applications and their adoption is not only a subject for adaptation procedures but also for redesigning their use according to the characteristics and user experience offered by public displays. This research will inform the design of new Web-based models of display applications and shed light on the challenges that may impede third party development and the evolution of an application ecosystem in this area.Fundação para a Ciência e a Tecnologia (FCT
An Analysis of Data Quality Defects in Podcasting Systems
Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste
An Analysis of Data Quality Defects in Podcasting Systems
Podcasting has emerged as an asynchronous delay-tolerant method for the distribution of multimedia files through a network. Although podcasting has become a popular Internet application, users encounter frequent information quality problems in podcasting systems. To better understand the severity of these quality problems, we have applied the Total Data Quality Management methodology to podcasting. Through the application of this methodology we have quantified the data quality problems inherent within podcasting metadata, and performed an analysis that maps specific metadata defects to failures in popular commercial podcasting platforms. Furthermore, we extracted the Really Simple Syndication (RSS) feeds from the iTunes catalog for the purpose of performing the most comprehensive measurement of podcasting metadata to date. From these findings we attempted to improve the quality of podcasting data through the creation of a metadata validation tool - PodCop. PodCop extends existing RSS validation tools and encapsulates validation rules specific to the context of podcasting. We believe PodCop is the first attempt at improving the overall health of the podcasting ecosyste
Volume 101 Issue 6
https://dc.swosu.edu/the_southwestern/1186/thumbnail.jp
The Utah Statesman, March 19, 2013
Weekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/1094/thumbnail.jp
The Utah Statesman, March 19, 2013
Weekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/1094/thumbnail.jp
The Utah Statesman, March 19, 2013
Weekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/1094/thumbnail.jp
Keeping up with the information glut by visualizing patterns of posting by friends on Facebook
Users of social networks, such as Facebook, are becoming increasingly overwhelmed by the growing number of "friends" that they are connected to and the "tsunami" of updates generated by them. It is very easy to miss potentially interesting updates, if one does not frequently check her news feed. Also it is hard to get a sense of which friends are active and especially, which are passive or completely gone. Awareness of friends and friends' activities is one of the utmost importance for a user to build trusted social networks. However, current online social networks provide only very limited clues to support these two kinds of awareness. Therefore, I propose a method to visualize the activity level of friends. It creates a time- and an activity-pattern awareness for the user, as well as an awareness of the lurkers. It also offers options to filter activity streams regarding particular time periods/friends
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