Matching and aligning features in overlayed coverages
Proceedings of the 6th ACM international symposium on Advances in geographic information systems
Ontology-driven geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
A WFS-based mediation system for GIS interoperability
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Approximate String Joins in a Database (Almost) for Free
Proceedings of the 27th International Conference on Very Large Data Bases
Object Fusion in Mediator Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Ontology-Based Geographic Data Set Integration
STDBM '99 Proceedings of the International Workshop on Spatio-Temporal Database Management
Meditation to Deal with Heterogeneous Data Sources
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
Text joins in an RDBMS for web data integration
WWW '03 Proceedings of the 12th international conference on World Wide Web
Finding corresponding objects when integrating several geo-spatial datasets
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Object fusion in geographic information systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Computing a k-route over uncertain geographical data
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
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A substantial amount of data about geographical entities is available on the World-Wide Web, in the form of digital maps. This paper investigates the integration of such data. A three-step integration process is presented. First, geographical objects are retrieved from Maps on the Web. Secondly, pairs of objects that represent the same real-world entity, in different maps, are discovered and the information about them is combined. Finally, selected objects are presented to the user. The proposed process is efficient, accurate (i.e., the discovery of corresponding objects has high recall and precision) and it can be applied to any pair of digital maps, without requiring the existence of specific attributes. For the step of discovering corresponding objects, three new algorithms are presented. These algorithms modify existing methods that use only the locations of geographical objects, so that information additional to locations will be utilized in the process. The three algorithms are compared using experiments on datasets with varying levels of completeness and accuracy. It is shown that when used correctly, additional information can improve the accuracy of location-based methods even when the data is not complete or not entirely accurate.