Integrating metadata development, XML, and DBMS search and query techniques in a state of Wisconsin land information system
Article No.: 67, Pages 1 - 2
Abstract
In addition to Nancy Wiegand, the PIs on this project are Isabel Cruz at the University of Illinois at Chicago and Stephen Ventura at the University of Wisconsin-Madison. The goal of the project is to provide full Database Management System type querying over government-produced data in a distributed Web-based information system. Current research focuses on the major issue of integrating and querying heterogeneous statewide data. We are using a semantic approach to achieve interoperability.
References
[1]
{BFM02} Bussler, C.; Fensel, D.; and Maedche, A. 2002. "A Conceptual Architecture for Semantic Web Enabled Web Services", SIGMOD Record, Vol. 31, No. 4, pp. 24--29.
[2]
{CR03} Cruz, I. F. and Rajendran, A. 2003. "Exploring a New Approach to the Alignment of Ontologies", Semantic Web Technologies for Searching and Retrieving Scientific Data Workshop, International Semantic Web Conference, Sanibel Island, Florida, pp. 7--12.
[3]
{NDM+01} Naughton, J.; DeWitt, D.; Maier, D. and others. 2001. "The Niagara Internet Query System", IEEE Data Engineering Bulletin, Vol. 24, No. 2, pp. 27--33.
[4]
{WLIS99} Wisconsin Land Council Technical Working Group. 1999. Wisconsin Land Information System Technical Report.
[5]
{WZC+04} Wiegand, N.; Zhou, N.; Cruz, I.; and Sunna, W. 2004. "A Web Query System for Heterogeneous Government Data", In Proceedings of The National Conference on Digital Government Research, dg.o2004.
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- Integrating metadata development, XML, and DBMS search and query techniques in a state of Wisconsin land information system
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Digital Government Society of North America
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Published: 24 May 2004
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