Title :
Context Modeling Approach for Geospatial Information Service
Author :
Shao-yi, Wang ; Xiu, Su
Author_Institution :
Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan
Abstract :
The main idea of pervasive computing is to embed computer into the living environment or tool of human, so as to make the computer invisible from userpsilas sight and the users can focus on their task itself, instead of the computer. As having natural relationship with the spatial distribution and mobile, the pervasive computing has been applied in geospatial information areas widely. However, the pervasive computing has brought challenges to the geospatial information science, and the first step of the solution to this challenge should be the modeling of geospatial context .This paper summarizes and analyses typical geospatial context, builds up a formal context model for geospatial information service based on ontology. The model is designed hierarchically and the context is expressed using the Web ontology language (OWL), which improves context expressing ability. Finally, this paper designs a context-aware computing model for geospatial information.
Keywords :
Internet; geographic information systems; knowledge representation languages; mobile computing; ontologies (artificial intelligence); OWL; Web ontology language; context-aware computing model; formal context model; geospatial information service; mobile computing; pervasive computing; Context modeling; Context-aware services; Embedded computing; Humans; Information analysis; Information science; Mobile computing; OWL; Ontologies; Pervasive computing; Geospatial information context; context-sensitive; ontology; pervasive geographical computing;
Conference_Titel :
Knowledge Acquisition and Modeling, 2008. KAM '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3488-6
DOI :
10.1109/KAM.2008.10