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  • 标题:INTEGRATION OF SPATIAL DATA WITHIN A GENERIC PLATFORM FOR LOCATION-BASED APPLICATIONS
  • 本地全文:下载
  • 作者:Steffen Volz ; Jan-Martin Bofinger
  • 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:2002
  • 卷号:XXXIV Part 4
  • 出版社:Copernicus Publications
  • 摘要:Within the last few years, a new kind of applications has evolved: location-based services are on their way to become one of the leading powers within the field of information technology. At the University of Stuttgart, a research project called NE X US has been initiated to develop an open and global platform supporting all possible types of mobile, location-based information systems. A federated infrastructure will be built up that manages a detailed model of the real world, which is called the Augmented World Model. Thus, an integrated view on the distributed data sources and services that have to cooperate within NE X US as well as a standardized interface can be offered to the applications. In order to realize the generic approach of NE X US , two crucial prerequisites have to be fulfilled: First of all, different data providers have to be able to integrate their data into the Augmented World Model. For this reason, a schema integration takes place that maps the object classes of existing data models onto the classes of the Augmented World Schema. Second, corresponding object instances within the data of the Augmented World Model must be matched. Thus, adjoining or overlapping data sets can be merged in order to derive one complete and semantically enriched spatial representation meeting the needs of different location-based applications. Therefore, appropriate conflation algorithms are being developed. The paper briefly introduces the idea of NE X US and describes the architecture and the data model of the platform. Then, the approaches for spatial data integration are explained in detail
  • 关键词:Federated Infrastructure; Location-Based Services; Multiple Representations; Spatial Data Integration; XML/GML; ; Conflation; Matching Conflicts
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