面向大型科学工程协同工作的信息推荐

大型科学工程因其庞大的规模使得其在研制时必须是多专业、多部门、多人员协同工作。其研制周期内产生的多维度且格式复杂的海量数据信息让科研人员陷入"信息过载"中,不能很好的利用这些数据。将信息推荐技术应用在大型科学工程的协同研制工作中,提出了面向4D协同信息的推荐模型,并设计了一个面向大型科学工程协同工作的信息推荐系统。该系统通过基于4D技术的信息可视化展示方式向大型科学工程研发人员实时、连续地推荐他们需要的信息,提高研发人员的工作效率。

Information Recommendation on the Collaborative Work of Key Scientiifc Engineering

Key scientific engineering involves in the cooperation of researchers of different disciplines and departments because of its vast scale. The multi-dimensional and complex data which is produced in the life-circle of the development of the project trapped the researchers in the “information overload” without efficient usage of the data. In this paper, we apply the information recommendation technology in the collaborative research and development of key scientific engineering, and propose a recommendation model for 4D collaborative information. Based on the model, we design an information recommendation system for collaborative work of key scientific engineering. The system continuously recommends the real-life information needed to the researchers through the information visualization based on the 4D technology, and promote the efficiency.