Collaborative tagging as distributed cognition

Author(s):  
Luc Steels
2006 ◽  
Vol 14 (2) ◽  
pp. 287-292 ◽  
Author(s):  
Luc Steels

The paper discusses recent developments in web technologies based on collaborative tagging. This approach is seen as a tremendously powerful way to coordinate the ontologies and views of a large number of individuals, thus constituting the most successful tool for distributed cognition so far.


2006 ◽  
Author(s):  
Ayse P. Gurses ◽  
Yan Xiao ◽  
Paul Gorman ◽  
Brian Hazlehurst ◽  
Grant Bochicchio ◽  
...  

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

Diagnosis ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 343-344 ◽  
Author(s):  
Eric Wilson ◽  
Colleen Seifert ◽  
Steven J. Durning ◽  
Dario Torre ◽  
Michelle Daniel

2021 ◽  
pp. 1-11
Author(s):  
Zhinan Gou ◽  
Yan Li

With the development of the web 2.0 communities, information retrieval has been widely applied based on the collaborative tagging system. However, a user issues a query that is often a brief query with only one or two keywords, which leads to a series of problems like inaccurate query words, information overload and information disorientation. The query expansion addresses this issue by reformulating each search query with additional words. By analyzing the limitation of existing query expansion methods in folksonomy, this paper proposes a novel query expansion method, based on user profile and topic model, for search in folksonomy. In detail, topic model is constructed by variational antoencoder with Word2Vec firstly. Then, query expansion is conducted by user profile and topic model. Finally, the proposed method is evaluated by a real dataset. Evaluation results show that the proposed method outperforms the baseline methods.


Diagnosis ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Jerusalem Merkebu ◽  
Michael Battistone ◽  
Kevin McMains ◽  
Kathrine McOwen ◽  
Catherine Witkop ◽  
...  

AbstractThe diagnostic error crisis suggests a shift in how we view clinical reasoning and may be vital for transforming how we view clinical encounters. Building upon the literature, we propose clinical reasoning and error are context-specific and proceed to advance a family of theories that represent a model outlining the complex interplay of physician, patient, and environmental factors driving clinical reasoning and error. These contemporary social cognitive theories (i.e. embedded cognition, ecological psychology, situated cognition, and distributed cognition) can emphasize the dynamic interactions occurring amongst participants in particular settings. The situational determinants that contribute to diagnostic error are also explored.


Sign in / Sign up

Export Citation Format

Share Document