From Kolflow Project
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| | Abstract: Social semantic web opens interesting perspectives for man-machine collaboration. It creates read/write spaces where users and smart agents can collaborate to produce knowledge readable by humans and machines. However, this process is not always safe, especially because many unpredictable errors can occur when knowledge is modied online. In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system. | | Abstract: Social semantic web opens interesting perspectives for man-machine collaboration. It creates read/write spaces where users and smart agents can collaborate to produce knowledge readable by humans and machines. However, this process is not always safe, especially because many unpredictable errors can occur when knowledge is modied online. In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system. |
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| - | [[File:kcip.pdf]]
| + | http://www2012.wwwconference.org/proceedings/companion/p1075.pdf |
Revision as of 16:34, 21 May 2012
Deliverable description
Code : D6.1
Task / Sub-task : Task6
Deadline : month 6
Description : Man-machine collaboration scenarios
Concerns :
Status : yes
Hala Skaf-Molli, Emmanuel Desmontils, Emmanuel Nauer, Gérôme Canals, Amélie Cordier, Marie Lefevre, Pascal Molli, Yannick Toussaint: Knowledge continuous integration process (K-CIP). WWW (Companion Volume) 2012: 1075-1082
Abstract: Social semantic web opens interesting perspectives for man-machine collaboration. It creates read/write spaces where users and smart agents can collaborate to produce knowledge readable by humans and machines. However, this process is not always safe, especially because many unpredictable errors can occur when knowledge is modied online. In this paper, we propose to implement a continuous knowledge integration process named K-CIP. We take advantage of man-machine collaboration to transform feedback of people into tests. This paper presents how K-CIP can be deployed to allow fruitful man-machine collaboration in the context of the WikiTaaable system.
http://www2012.wwwconference.org/proceedings/companion/p1075.pdf
