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【目的/意义】本文针对传统知识集成模型无法识别用户个性化知识及共性知识等问题,应用情境感知理论构建“互联网+”背景下情境知识集成模型,为用户推送所需个性化及共性知识。【方法/过程】通过构建静态、动态情境知识模型,首先描绘用户个性化知识与共性知识;然后绘制用户知识需求曲线,识别个性化与共性知识;最后利用RSS为用户推送所需知识文档。【结果/结论】通过四项评价指标与用户知识需求曲线可以看出,利用情景知识集成模型可以获取用户各层次知识需求,并对其进行准确定位,智能化地预测与推送用户所需的个性化知识与共性知识。
[Purpose / Significance] This paper aims at the traditional knowledge integration model can not identify the user’s personalized knowledge and common knowledge and other issues, the application of context-aware theory build “Internet + ” background context knowledge integration model for the user to push the individual needs and commonality know how. [Method / Procedure] By constructing a static and dynamic context knowledge model, the user’s personalized knowledge and common knowledge are first depicted; then the user’s knowledge demand curve is drawn to identify the individualized and common knowledge; and finally, the RSS is used to push the required knowledge document for the user. [Results / Conclusion] Through the four evaluation indexes and user demand curve of knowledge, we can see that the use of scenario knowledge integration model can obtain the user’s knowledge needs at all levels, and accurately locate them, and intelligently predict and push the user’s desired personality Knowledge and common knowledge.