scholarly journals Collaborative Information Seeking with Ant Colony Ranking in Real-Time

Author(s):  
Tommaso Turchi ◽  
Alessio Malizia ◽  
Paola Castellucci ◽  
Kai Olsen
2017 ◽  
Vol 53 (3) ◽  
pp. 608-623 ◽  
Author(s):  
Alessio Malizia ◽  
Kai A. Olsen ◽  
Tommaso Turchi ◽  
Pierluigi Crescenzi

2016 ◽  
Vol 49 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Chirag Shah ◽  
Rob Capra ◽  
Preben Hansen

2016 ◽  
Vol 50 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Laure Soulier ◽  
Lynda Tamine ◽  
Tetsuya Sakai ◽  
Leif Azzopardi ◽  
Jeremy Pickens

2018 ◽  
Vol 30 (5) ◽  
pp. 396-416
Author(s):  
Dena Al-Thani ◽  
Tony Stockman

Author(s):  
David Mendonça ◽  
William A. Wallace ◽  
Barbara Cutler ◽  
James Brooks

AbstractLarge-scale disasters can produce profound disruptions in the fabric of interdependent critical infrastructure systems such as water, telecommunications and electric power. The work of post-disaster infrastructure restoration typically requires information sharing and close collaboration across these sectors; yet – due to a number of factors – the means to investigate decision making phenomena associated with these activities are limited. This paper motivates and describes the design and implementation of a computer-based synthetic environment for investigating collaborative information seeking in the performance of a (simulated) infrastructure restoration task. The main contributions of this work are twofold. First, it develops a set of theoretically grounded measures of collaborative information seeking processes and embeds them within a computer-based system. Second, it suggests how these data may be organized and modeled to yield insights into information seeking processes in the performance of a complex, collaborative task. The paper concludes with a discussion of implications of this work for practice and for future research.


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