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Ontology-based Consistent Researches For Multiple Representation Of Spatial Data

Posted on:2008-08-13Degree:MasterType:Thesis
Country:ChinaCandidate:J L ChenFull Text:PDF
GTID:2178360215956504Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the widely used applications and increasing demands of Geographical Information System, analyzing, calculating and expressing the geographic phenomena in the different scales and resolutions have become the hot focus and up to date issues.When different spatial data are used to represent the same spatial scene or spatial phenomenon, it is called multiple representations of spatial data. There are some differences among these spatial data, such as level of details, representation model (e.g. vector model and raster model) and temporal representation. There may have some inconsistencies among spatial relationships, spatial semantics and geometric configuration of spatial objects in multiple representations of spatial data, which must be evaluated and corrected.The existing researches pay more attention to the design and implementation of multi-represent databases, including the design of data structure of related levels. Most of them concentrate on the maintenances of topological relations of spatial objects, and seldom consider the other factors which impact the consistent of spatial objects, such as the attribute feature consistency and semantic consistency. This is insufficient for us to solve the consistent of multiple representations.Based on the existed researches, this paper presents a novel new way to maintain the consistency between objects in the context of multiple representations of spatial data. This is achieved by introducing ontology into the geography information modeling, considering the information integration and sharing, and matching object attribute feature and object spatial relationship under the representation level homeomorphisms.The method considers the topological relationship consistency and semantic consistency of spatial data together. It can solve the inconsistency more completely and improve the quality data more efficiently.Experiments indicate that the solutions presented in this paper can discover and maintain the consistency of spatial objects more effectively and completely. This can help to enhance the function of multi-represent databases and to improve the quality of spatial data.
Keywords/Search Tags:Spatial Databases, Multiple Representation, Ontology, Consistency
PDF Full Text Request
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