Stephen J. Ventura

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The proposed Wisconsin Land Information System (WLIS) will be a statewide access mechanism for land related data. It will be a distributed Web-based system with heterogeneous data residing on local and state servers. One of the most important functions for WLIS is to integrate land use data across jurisdictions to enable decision-making for comprehensive(More)
To query XML data over the Web, query engines need to be able to resolve semantic differences between heterogeneous attributes that are conceptually similar. This demo presents a mapping tool and method to resolve semantic heterogeneity at the schema and value levels for data sets that are part of a Web-based information system. The mapping tool(More)
This paper describes a Web-based query system for semantically heterogeneous geospatial data. Our goal is to provide DBMS type query capabilities to a proposed statewide land information system. One of the main problems in querying distributed local data sources is the difference in semantics describing the characteristics (attributes) of spatial objects(More)
Problem: Planners, politicians, organizations, and citizens in many cities recognize community gardens as a vital part of urban food production. To fulfill community or organizational goals, it is helpful to systematically identify and assess urban vacant land that could be used as potential garden sites. Purpose: The technical purpose of this project was(More)
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