期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2007
卷号:XXXVI–4/W45
出版社:Copernicus Publications
摘要:Recently, the visualization of the spatial data is gaining importance in the ubiquitous computing. In geoinformatics such as distributed GIS or Location Based Services, context models are responsible for the robust communication between the mobile user and the system. Context-aware systems are considerable issue in ubiquitous systems, reflecting delicate effect of the designed context leads us to ontologies. To develop a user-adaptive ontological model, users' different situations should be defined properly. In Location Based Services (LBS), much intelligent system ignores affect of user's states and roles except user's location. However different user profiles need customized visualization style in order to provide a relevant spatial data. In this paper, the aim of the research is to define new mobile contextual ontologies (classes and properties) which obey relevance theories so as to define any user's relevant visualization profile on the mobile devices. Therefore a kind of intelligent system proposed here can reason over the complete semantic model of the OWL language by an inference engine. A contextual ontology (OWL-DL) for relevancy has been edited in an ontology editor and knowledge acquisition system. Consistency of taxonomies has been checked in a reasoning engine for OWL-DL. Consequently inference engine retrieves criteria for relevant visualization profile with its reasoning algorithms or defined SWRL (Semantic Web Rule Language) as a server
关键词:Distributed GIS; Location Based Services; Context; Context Awareness; Ontology; Visualization