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An active multidatabase system with function of spatial and temporal context recognition for mobile computing environments

一种用于移动计算环境的具有时空上下文识别功能的主动多数据库系统

基本信息

批准号：
12680421
负责人：
KIYOKI Yasushi
金额：
$ 0.58万
依托单位：
Keio University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2000
资助国家：
日本
起止时间：
2000 至 2001
项目状态：
已结题

项目摘要

In this study, we have realized an active mobile multidatabase system with spatio-temporal context recognition functions. This system is used to create new application fields, provide new information with the users and enhance the importance of each individual database by dynamically and automatically integrating heterogeneous databases according to a user's spatio-temporal contextIn this study, we have designed a metalevel system architecture for an active mobile multidatabase system. This metalevel system architecture realizes a new context-dependent data integration mechanism in the metalevel. The context-dependent data integration means that legacy databases are integrated by our computational model for measuring equality, similarity, spatial and temporal relationships. Our computational model dynamically computes various relationships among legacy databases by combining computational models corresponding to user's contexts. We have realized this model as the hybrid computational model in the metalevel.We have also designed a mechanism for recognizing a user's spatio-temporal context by applying our model to mobile computing and active database technologies. This mechanism makes it possible to integrate heterogeneous databases according to a user's spatio-temporal context dynamically and automatically.Furthermore, we have implemented an experimental system, and performed several experiments to clarify feasibility and effectiveness of our system.(1) The experiments for clarifying feasibility and effectiveness of our mechanism for recognizing a user's spatio-temporal context in terms of accuracy of retrieval results of data integration, the implementation overhead and performance.(2) The experiments for evaluating implementation overhead and performance of our system in integrating active database techniques into the metalevel system.

在本研究中，我们实作了一个具有时空背景辨识功能的主动式移动的多重资料库系统。该系统是用来创建新的应用领域，提供新的信息与用户和提高每个单独的数据库的重要性，通过动态和自动集成异构数据库根据用户的时空contextIn这项研究中，我们设计了一个元级系统架构的主动移动的多数据库系统。该元层系统架构实现了一种新的元层上下文相关的数据集成机制。上下文相关的数据集成意味着遗留数据库通过我们的计算模型进行集成，以测量相等性，相似性，空间和时间关系。我们的计算模型动态计算各种关系的遗留数据库相结合的计算模型，对应于用户的上下文。我们将该模型实现为元级的混合计算模型，并将该模型应用于移动的计算和主动数据库技术，设计了一种识别用户时空上下文的机制。该机制使得根据用户的时空上下文动态、自动地集成异构数据库成为可能。此外，我们还实现了一个实验系统，并进行了多个实验来阐明我们系统的可行性和有效性。(1)实验阐明我们的机制识别用户的时空上下文的数据集成的检索结果的准确性，实现开销和性能方面的可行性和有效性。(2)实验评估我们的系统在整合主动资料库技术到元阶层系统的执行开销与效能。