泛在计算环境中基于社会化标注的情境获取研究

发布时间：2018-09-17 15:02

【摘要】：随着泛在网络、普适计算、传感技术等的发展,一个以用户为中心的泛在计算环境正在形成。如何从泛在计算环境下的“大数据”中获取合适信息满足用户个性化的“按需”信息服务需求,成为信息服务需要解决的关键问题。情境感知通过传感设备和其他渠道获取用户情境并为用户推送资源或服务,已成为实现信息资源个性化服务的重要途径。情境获取是实现情境感知的基础环节,现有的情境获取方法已不能满足泛在计算环境中海量多样化和动态变化的情境信息的获取要求。社会化标注中大众参与理念,开放、动态的标注模式为实现以大众为主导、动态开放的情境获取提供可能。为此,本文结合国家自然科学基金项目“泛在计算环境中社会化驱动的情境感知个性化信息服务研究”(项目编号:71471165)、浙江省自然科学基金项目“面向智慧旅游的信息搜寻研究—基于社会化情境感知方法”(项目编号:LY15G010010)开展泛在计算环境中基于社会化标注的情境获取研究,论文的主要工作和贡献包括:(1)构建基于社会化标注的情境获取模型,从社会化标注和情境获取模型的相似性入手,分析表明社会化标注中资源标签的共享模式可以移植到情境获取模型中,并且为逻辑情境信息的获取提供新的思路,最终引入社会化标注构建基于社会化标注的情境获取模型。(2)分析基于社会化标注的情境获取机制,从情境获取过程入手,详细阐述逻辑情境信息的推荐获取机制、用户与系统的交互接口机制、交互选择机制等三个机制,并详细分析各机制产生的原因、包含的内容及其对情境获取的影响。(3)设计实验探讨不同机制对情境获取的影响,分别针对三个机制设计逻辑情境信息的推荐获取实验、交互接口实验、用户与系统的交互实验等三个实验,采用问卷调查与模拟仿真相结合的实验方法进行探究。对实验结果进行讨论分析,发现所设计的情境信息推荐获取机制能够有效的为用户推荐出合适的逻辑情境信息,同时适当的调整情境信息推荐列表的项数能够提高情境获取能力与效果,用户对物理情境的主动标注行为能够有效地提高情境信息获取的有效性。
[Abstract]:With the development of ubiquitous network, pervasive computing and sensor technology, a user-centered ubiquitous computing environment is emerging. How to obtain the appropriate information from big data in the computing environment to meet the user's individualized "on-demand" information service requirements has become the key problem to be solved by the information service. Situational awareness has become an important way to realize the personalized service of information resources by acquiring user situations through sensing devices and other channels and pushing resources or services for users. Situation acquisition is the basic link to realize situational awareness. The existing methods of situational acquisition can no longer meet the requirements of massive diversity and dynamic change of situational information in ubiquitous computing environments. In social tagging, the idea of mass participation, openness and dynamic tagging mode provide the possibility for the realization of mass oriented and dynamic open situation acquisition. To that end, This paper combines the project of National Natural Science Foundation of China, "the Research of situation perception Personalized Information Service driven by Social in the Computational Environment" (Project No.: 71471165), and Zhejiang Natural Science Foundation Project "Information search for Intelligent Tourism" (item No.: 71471165). Research based on socialized situational perception (item No.: LY15G010010). The main contributions of this paper are as follows: (1) constructing a situational acquisition model based on social tagging, starting with the similarity of socialized tagging and situational acquisition models; The analysis shows that the shared mode of resource tagging in social tagging can be transplanted into the context acquisition model and provide a new way of thinking for the acquisition of logical situation information. Finally, the socialized annotation is introduced to construct the situation acquisition model based on social annotation. (2) analyzing the situation acquisition mechanism based on social annotation, starting with the process of situation acquisition, elaborating the recommendation mechanism of logical situation information in detail. The interaction interface mechanism and interactive selection mechanism between user and system are analyzed in detail, and the causes of each mechanism are analyzed in detail. (3) designing experiments to explore the influence of different mechanisms on situational acquisition. According to the three mechanisms, this paper designs the three experiments of logical situation information acquisition, interactive interface experiment, user and system interaction experiment, respectively, and adopts the method of questionnaire investigation and simulation. The experimental results are discussed and analyzed. It is found that the proposed mechanism can effectively recommend the appropriate logical situation information for users. At the same time, adjusting the number of items in the recommended list of situation information can improve the ability and effect of situation acquisition, and the active tagging behavior of user to physical situation can effectively improve the effectiveness of situation information acquisition.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TP391.3

【相似文献】