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Handling semantic heterogeneities using declarative agreements
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Source Geographic Information Systems archive
Proceedings of the 10th ACM international symposium on Advances in geographic information systems table of contents
McLean, Virginia, USA
SESSION: Applications table of contents
Pages: 168 - 174  
Year of Publication: 2002
ISBN:1-58113-591-2
Authors
Isabel F. Cruz  University of Illinois at Chicago
Afsheen Rajendran  University of Illinois at Chicago
William Sunna  University of Illinois at Chicago
Nancy Wiegand  University of Wisconsin-Madison
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 24,   Citation Count: 8
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ABSTRACT

The focus of this paper is on interoperability issues to achieve data integration in distributed databases for geographic applications. Our concrete application is in the context of the State of Wisconsin Land Information System (WLIS). In WLIS, data is stored in XML using independently maintained local databases. However, answers to many queries must span several databases. Our approach is based on the existence of a central ontology and on declarative transformations, called \it agreements, between the schemas of the local databases and the central ontology. Using our approach, end users can seamlessly query and aggregate semantically related data that is available throughout the state using a visual interface. An expert at the site of the local database uses another visual interface to specify the agreement between that database and the ontology. Our approach has been fully developed and tested.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  8

Collaborative Colleagues:
Isabel F. Cruz: colleagues
Afsheen Rajendran: colleagues
William Sunna: colleagues
Nancy Wiegand: colleagues