一个情境相关的双层室内空间数据模型

在室内空间的移动对象管理中,如何建立数据模型是要解决的首要问题。随着情境感知信息系统的发展,情境的概念得到越来越多的关注,如何在室内空间数据管理中融入情境信息已经成为人们关注的焦点问题。针对这一问题,综合考虑几何、拓扑、情境3类信息,建立了一个情境相关的双层室内空间数据模型。在分析了经典的空间划分方法后,提出了室内空间细粒度划分方法,并给出其形式化定义；引入层次互补的思想来组织室内空间,采用本体的方法将情境信息加入到模型中,使该模型对室内空间的表达更加灵活；最后,通过实例分析和列举模型的优势说明了建模方法的可行性和有效性。

Context-dependent Double-layered Data Model for Indoor Space

In the management of moving objects for indoor space,how to build the data model is the most important problem to be solved.With the development of context-aware information system,the concept of the context is getting more and more attention.How to integrate the context and preference information into the indoor spatial data management has become the focus of attention.Aiming at this problem,considering three kinds of information,such as geometry,topology and context,a context-dependent double-layered data model for indoor space was built.After analyzing the classical methods of space partition, we introduced a new method called the fine-grained partition for indoor space and gave its formal definition.We adopted the idea of hierarchical complementary to organize the indoor space,and the context information was added to the model by using ontology,which provides a flexible representation for indoor space.Finally,the feasibility and validity of the modeling method are illustrated by the examples and the advantages of this model.