融合情境语义的虚拟学术社区知识推荐模型研究

Research on Knowledge Recommendation Model Integrating Situational Semantics Based on Virtual Academic Community

[目的/意义]为弥补虚拟学术社区知识服务的不足,研究面向知识服务的知识推荐。[方法/过程]以虚拟学术社区这一重要交流平台为研究对象,将网络用户学术交流中的情境语义关系融入到知识推荐中。首先构建情境因素的语义层次模型,其次将情境语义融入到虚拟学术社区知识表示中,最后增加语义层次树中的属性因素,改进节点间的语义相似度计算,以实现融合情境的语义协同推荐。[局限]文中的实验只选取了科学网作为实验数据,并未将所有学术社区均进行实验层面的验证,扩大数据集将作为后续的研究目标之一。

[Purpose/significance]In order to make up for the deficiency of knowledge service in virtual academic community,knowledge service oriented knowledge recommendation is studied.[Method/process]This paper takes virtual academic community that an important communication platform as the research object,and integrates the situational semantic relationships into knowledge recommendation.Firstly,the semantic hierarchy model of situational factors is constructed.Secondly,situational semantics are integrated into the knowledge representation of virtual academic community.Finally,attribute factors are added into semantic hierarchy tree to improve semantic similarity between nodes,and realize semantic collaborative recommendation integrating situational semantics.[Limitations]The experiment in this paper only chooses the Science Network as the experimental data,not all academic communities.Expanding the data set will be one of the follow-up research objectives.