Multimedia Management Services Based on User Participation with Collaborative Tagging

2016 ◽  
pp. 59-66
Author(s):  
JiSoo Park ◽  
Kyeong Won Park ◽  
Yeonsang Yun ◽  
Mucheol Kim ◽  
Seungmin Rho ◽  
...  
Keyword(s):  
User Participation ◽  
Collaborative Tagging ◽  
Multimedia Management ◽  
Management Services

Folksonomy

2010 ◽  
pp. 147-157
Author(s):  
Stefan Bitzer ◽  
Lars Thoroe ◽  
Matthias Schumann
Keyword(s):  
Web 2.0 ◽  
Information Search ◽  
User Participation ◽  
The Internet ◽  
Future Trends ◽  
Collaborative Tagging ◽  
Advantages And Disadvantages ◽  
User Motivation ◽  
Cooperative Processes

Modern Web 2.0 technologies facilitate the collaboration and sharing of information among users, thereby enabling cooperative processes of information search. One kind of user participation is collaborative tagging, where individuals assign keywords to resources and objects on the Internet. Through the allocation of keywords, objects are enhanced with user-created metadata which results in the so-called folksonomies. This chapter focuses on the classification of tags based on function and user motivation, examines advantages and disadvantages of folksonomies, and provides a review of current applications using collaborative tagging. Future trends and potential developments are identified as they relate to the implementation of collaborative tagging in corporate settings.

Case Management Services for HIV-Seropositive IDUs

1992 ◽  
Author(s):  
H. Virginia McCoy ◽  
◽  
Sally Dodds ◽  
James E. Rivers ◽  
Clyde B. McCoy
Keyword(s):  
Case Management ◽  
Hiv Seropositive ◽  
Management Services

SOAF: Semantic Indexing System Based on Collaborative Tagging

10.28945/371 ◽  
2008 ◽  
Vol 4 ◽  
pp. 137-149 ◽  
Author(s):  
Doina Ana Cernea ◽  
Esther Del Moral-Pérez ◽  
Jose E. Labra Gayo
Keyword(s):  
Semantic Indexing ◽  
Collaborative Tagging ◽  
Indexing System

Tracing or Tracking? A Preliminary Analysis of COVID-19 Outbreak Tracker Apps on Android and User Privacy (Preprint)

2020 ◽  
Author(s):  
Alex Akinbi ◽  
Ehizojie Ojie
Keyword(s):  
Preliminary Analysis ◽  
Service Providers ◽  
User Participation ◽  
Memory Storage ◽  
Phone Call ◽  
Contact Tracing ◽  
Privacy Rights ◽  
User Privacy ◽  
Android Apps ◽  
User Data

BACKGROUND Technology using digital contact tracing apps has the potential to slow the spread of COVID-19 outbreaks by recording proximity events between individuals and alerting people who have been exposed. However, there are concerns about the abuse of user privacy rights as such apps can be repurposed to collect private user data by service providers and governments who like to gather their citizens’ private data. OBJECTIVE The objective of our study was to conduct a preliminary analysis of 34 COVID-19 trackers Android apps used in 29 individual countries to track COVID-19 symptoms, cases, and provide public health information. METHODS We identified each app’s AndroidManifest.xml resource file and examined the dangerous permissions requested by each app. RESULTS The results in this study show 70.5% of the apps request access to user location data, 47% request access to phone activities including the phone number, cellular network information, and the status of any ongoing calls. 44% of the apps request access to read from external memory storage and 2.9% request permission to download files without notification. 17.6% of the apps initiate a phone call without giving the user option to confirm the call. CONCLUSIONS The contributions of this study include a description of these dangerous permissions requested by each app and its effects on user privacy. We discuss principles that must be adopted in the development of future tracking and contact tracing apps to preserve the privacy of users and show transparency which in turn will encourage user participation.

Software suite for determining the tilts of tower-type structures according to terrestrial laser scanning

2020 ◽  
Vol 961 (7) ◽  
pp. 2-7
Author(s):  
A.V. Zubov ◽  
N.N. Eliseeva
Keyword(s):  
Laser Scanning ◽  
Optimization Problems ◽  
Optimization Methods ◽  
User Participation ◽  
Software Suite ◽  
Current State ◽  
Visual Basic For Applications ◽  
Operational Data ◽  
Theoretical Developments

The authors describe a software suite for determining tilt degrees of tower-type structures according to ground laser scanning indication. Defining the tilt of the pipe is carried out with a set of measured data through approximating the sections by circumferences. They are constructed using one of the simplest search engine optimization methods (evolutionary algorithm). Automatic filtering the scan of the current section from distorting data is performed by the method of assessing the quality of models constructed with that of least squares. The software was designed using Visual Basic for Applications. It contains several blocks (subprograms), with each of them performing a specific task. The developed complex enables obtaining operational data on the current state of the object with minimal user participation in the calculation process. The software suite is the result of practical implementing theoretical developments on the possibilities of using search methods at solving optimization problems in geodetic practice.

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