Details
| Original language | English |
|---|---|
| Number of pages | 5 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 35 |
| Publication status | Published - 2004 |
| Event | 20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey Duration: 12 Jul 2004 → 23 Jul 2004 |
Abstract
Nowadays cartographic objects of different resolutions are hold in different coexisting databases. This implies an extensive amount of work for updating an object in all resolutions. One way to reduce this is to build a multi-resolution database which holds and links different representations of the real-world objects and allows to automatically pass updates to all linked representations (requiring algorithms for propagation of updates). In order to ensure the autonomy of applications on the local databases, we propose the architecture of a federated database for such a multi-resolution database. A main requirement for setting up a multi-resolution database is to "identify" the different representations of real-world objects. Therefore we propose a multistage procedure as follows: - Semantic classification: Identify the sets of objects to compare with one another - Compute geometrically possible matchings within these classes - Postprocessing: Automatically select correct matchings from the set of possible matchings by applying prepared rules - Manual select correct matchings for the remaining possible matchings, which were not automatically detected as correct or incorrect We present a framework for the needed semantic classification, a concept for rule-based selection as well as an algorithm to compute possible matchings. We have enhanced the formerly known buffer growing algorithm for computation of possible matchings and implemented it in PL/SQL for use in spatial databases based on Oracle9i (with the spatial data cartridge). The enclosing object matching process is supported by a graphical user interface utilizing stored database procedures for the mentioned steps and rules.
Keywords
- Federated databases, Integration, Matching algorithms, Resolution
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 35, 2004.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Matching cartographic objects in spatial databases
AU - Mantel, Daniela
AU - Lipeck, Udo
N1 - Publisher Copyright: © 2004 International Society for Photogrammetry and Remote Sensing. All rights reserved.
PY - 2004
Y1 - 2004
N2 - Nowadays cartographic objects of different resolutions are hold in different coexisting databases. This implies an extensive amount of work for updating an object in all resolutions. One way to reduce this is to build a multi-resolution database which holds and links different representations of the real-world objects and allows to automatically pass updates to all linked representations (requiring algorithms for propagation of updates). In order to ensure the autonomy of applications on the local databases, we propose the architecture of a federated database for such a multi-resolution database. A main requirement for setting up a multi-resolution database is to "identify" the different representations of real-world objects. Therefore we propose a multistage procedure as follows: - Semantic classification: Identify the sets of objects to compare with one another - Compute geometrically possible matchings within these classes - Postprocessing: Automatically select correct matchings from the set of possible matchings by applying prepared rules - Manual select correct matchings for the remaining possible matchings, which were not automatically detected as correct or incorrect We present a framework for the needed semantic classification, a concept for rule-based selection as well as an algorithm to compute possible matchings. We have enhanced the formerly known buffer growing algorithm for computation of possible matchings and implemented it in PL/SQL for use in spatial databases based on Oracle9i (with the spatial data cartridge). The enclosing object matching process is supported by a graphical user interface utilizing stored database procedures for the mentioned steps and rules.
AB - Nowadays cartographic objects of different resolutions are hold in different coexisting databases. This implies an extensive amount of work for updating an object in all resolutions. One way to reduce this is to build a multi-resolution database which holds and links different representations of the real-world objects and allows to automatically pass updates to all linked representations (requiring algorithms for propagation of updates). In order to ensure the autonomy of applications on the local databases, we propose the architecture of a federated database for such a multi-resolution database. A main requirement for setting up a multi-resolution database is to "identify" the different representations of real-world objects. Therefore we propose a multistage procedure as follows: - Semantic classification: Identify the sets of objects to compare with one another - Compute geometrically possible matchings within these classes - Postprocessing: Automatically select correct matchings from the set of possible matchings by applying prepared rules - Manual select correct matchings for the remaining possible matchings, which were not automatically detected as correct or incorrect We present a framework for the needed semantic classification, a concept for rule-based selection as well as an algorithm to compute possible matchings. We have enhanced the formerly known buffer growing algorithm for computation of possible matchings and implemented it in PL/SQL for use in spatial databases based on Oracle9i (with the spatial data cartridge). The enclosing object matching process is supported by a graphical user interface utilizing stored database procedures for the mentioned steps and rules.
KW - Federated databases
KW - Integration
KW - Matching algorithms
KW - Resolution
UR - http://www.scopus.com/inward/record.url?scp=85044538756&partnerID=8YFLogxK
U2 - 10.15488/3357
DO - 10.15488/3357
M3 - Conference article
AN - SCOPUS:85044538756
VL - 35
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 20th ISPRS Congress on Technical Commission VII
Y2 - 12 July 2004 through 23 July 2004
ER -