基于群体研讨理论的知识元协同获取

针对web2.0环境下的知识元协同获取问题,给出了web2.0环境下的知识元表示;在此基础上构建了以知识元属性为主体的群体研讨任务;通过群体研讨的共识状态模型,实现了多源知识元版本的融合,进而实现了知识元的协同获取。研究结果表明:以知识元作为知识的结构化表示形式,便于web2.0环境下的知识共享、传播与问题求解支持;以群体研讨理论为支撑,从定量计算视角及可操作层面给出知识元协同获取方法,便于web2.0环境下的机助知识协同获取;将群体研讨理论应用在web2.0环境下的知识元协同获取中,较之传统意义上的群体研讨,群体成员可更加方便、相对独立的表达自己观点,由此获取的知识更具客观性与全面性,一定程度上扩展了群体研讨理论的应用。

Synergistic acquisition of knowledge units based on the group argumentation theory

To realize the synergistic acquisition of knowledge units in the web2.0 environment, this paper discusses the knowledge unit representation in the web2.0 environment. On the basis of this, the group argumentation task is established by taking the attributes of a knowledge unit as its main body. By use of the consensus state model of group argumentation, the fusion of different knowledge unit versions derived from the knowledge unit is achieved, and then the synergistic acquisition of knowledge units is realized. The results show that taking knowledge units as the structured representation of knowledge is helpful to knowledge sharing, diffusion and problem solving support in the web2.0 environment; the quantitative and operable synergistic acquisition of knowledge units method proposed based on the group argumentation theory is beneficial to computer-aided synergistic knowledge acquisition in the web2.0 environment; applying the group argumentation theory in synergistic acquisition of knowledge units in the web2.0 environment contributes to group members expressing their views more conveniently and independently compared with the traditional group argumentation, which makes the acquired knowledge be more objective and comprehensive, and thus extends the application of the group argumentation theory to a certain extent.