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Modelling, management and distribution of heterogeneous data for a web based information system

Gebhardt, Steffen and Wehrmann, Thilo and Klinger, Verena and Huth, Juliane and Künzer, Claudia (2010) Modelling, management and distribution of heterogeneous data for a web based information system. In: Proceedings of the 31st Asian Remote Sensing Conference, TS28-6. 31st Asian Remote Sensing Conference, 01.-05. Nov. 2010, Hanoi, Vietnam.

Full text not available from this repository.

Abstract

ABSTRACT: Efficient and sustainable Integrated Water Resources Management (IWRM) requires computer based Decision Support Systems (DSS) supporting operational management and strategic policy-making and planning. Spatial data and related technologies provide information on abiotic, biotic and socioeconomic conditions which are crucial for effective collaborative decision-making in the IWRM context. The more high quality data are available the more a DSS can support decision-making processes by customized, question- and problem driven information products. The German-Vietnamese Water-related Information System for the Mekong Delta (WISDOM) supports business processes in Integrated Water Resources Management in Vietnam. Multiple disciplines bring together earth and ground based observation themes, such as environmental monitoring, water management, demographics, economy, information technology, and infrastructural systems. With that, large amounts of heterogeneous data from the above fields including spatial data, statistics or ground-based observations have to be managed by the system. At the same time these data shall be identified by meaningful user driven requests, like datasets belonging to a specific theme, for a specific administrative region, and within a defined period in time. This paper introduces the data models and –management components of the web-based WISDOM system. The presented data models cover all relevant aspects on both, the semantic- and actual dataset level. They enable efficient management of spatial, statistical or observational data. Our approach of semantic tagging of datasets allows for the efficient and simple data identification and access. Our models are driven by existing international standards for metadata description (ISO19115), Map Styling Information (OGC Styled Layer Description) or dataset distribution (e.g. Web Map Service and Web Coverage Service). The data management utilizes an object-relational database management system also supporting management and processing of spatial data, a XML database for managing and querying XML-structured information as also Web-based Distributed Authoring and Versioning (WebDAV) for managing files collaboratively on web servers.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Modelling, management and distribution of heterogeneous data for a web based information system
Authors:
AuthorsInstitution or Email of Authors
Gebhardt, SteffenUNSPECIFIED
Wehrmann, ThiloUNSPECIFIED
Klinger, VerenaUNSPECIFIED
Huth, JulianeUNSPECIFIED
Künzer, ClaudiaUNSPECIFIED
Date:November 2010
Journal or Publication Title:Proceedings of the 31st Asian Remote Sensing Conference
Refereed publication:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:TS28-6
Status:Published
Keywords:Decision Support System, Spatial data modelling and -management, Data heterogeneities, Data standardization, Data distribution, Web-based Geographic Information Systems
Event Title:31st Asian Remote Sensing Conference
Event Location:Hanoi, Vietnam
Event Type:international Conference
Event Dates:01.-05. Nov. 2010
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W - no assignement
DLR - Research theme (Project):W -- no assignement (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Juliane Huth
Deposited On:24 Nov 2010 20:45
Last Modified:24 Nov 2010 20:45

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