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Titlebook: Interoperating Geographic Information Systems; Second International Andrej V?kovski,Kurt E. Brassel,Hans-J?rg Schek Conference proceedings

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書目名稱Interoperating Geographic Information Systems
副標(biāo)題Second International
編輯Andrej V?kovski,Kurt E. Brassel,Hans-J?rg Schek
視頻videohttp://file.papertrans.cn/473/472635/472635.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Interoperating Geographic Information Systems; Second International Andrej V?kovski,Kurt E. Brassel,Hans-J?rg Schek Conference proceedings
出版日期Conference proceedings 1999
關(guān)鍵詞Geographic Information Systems (GIS); Heterogeneous Databases; Interoperating Databases; Spatial Data S
版次1
doihttps://doi.org/10.1007/10703121
isbn_softcover978-3-540-65725-5
isbn_ebook978-3-540-49017-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

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Adding an Interoperable Server Interface to a Spatial Database: Implementation Experiences with Openor OpenMap, allowing the OpenMap map browser access to data stored in SAND, a prototype spatial database system. DLG data from the U.S. Geological Survey were used to demonstrate the combined system. Key features of the OpenMap and SAND systems are described, as well as how they deal with the DLG data.
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Assessing Semantic Similarities among Geospatial Feature Class Definitionsns, parts, and attributes). By taking into consideration cognitive properties of similarity assessments, this model represents a cognitively plausible and computationally achievable method for measuring the degree of interoperability.
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Proceeding on the Road of Semantic Interoperability – Design of a Semantic Mapper Based on a Case St case study and prototype development. This prototype is not aimed to be a definitive solution. Rather, it provides a feedback process to our struggle to seek scientifically sound and technically and commercially viable solutions to semantic interoperability.
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A Spatial Data Infrastructure for the Hindu Kush – Himalayan Region:mation Service (MENRIS) Division in particular. Some pragmatic steps to build a regional spatial data infrastructure that are envisaged by MENRIS are discussed. Emphasis is being put on metadata, standards definition and generation of regional key data sets at 1:250’000 scale.
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