Spatial-Temporal Data Representation in Ontology System for Personalized Decision Support

The increment of spatial-temporal data (STD) collected in many domain areas, including bioinformatics, engineering, medicine, environment, telecommunication, computer vision and many more has leads towards the emergent of information technology initiatives that facilitate the knowledge acquisition, organization and dissemination among research community. The initiatives include but not exhaust to spatial-temporal representation in ontology and databases, spatial-temporal modeling and spatial-temporal reasoning that fall under data mining research. Both the temporal and spatial dimensions add substantial complexity to data mining tasks [1]. Spatiotemporal data mining here refers to the extraction of implicit knowledge, spatial and temporal relationships or other patterns not explicitly stored in spatio-temporal databases [2].