GEDMWA: geospatial exploratory data mining web agent

Authors:
Edward Pultar;Martin Raubal;Michael F. Goodchild
Affiliations:
University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;University of California, Santa Barbara, CA
Venue:
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Year:
2008

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Abstract

An abundance of geospatial information is flourishing on the Internet but mining and disseminating these data is a daunting task. With anything published on the web available to the public it has become a grand repository of volunteered geographic information (VGI). Internet users often provide location information for videos, pictures, travel destinations, or other events. All of these data can be gathered by a web crawling geospatial agent that later performs geospatial data mining. The discovered geoinformation can be stored, analyzed, queried, and visualized as the agent creates a data repository of what it discovered. This paper presents the design and prototypical implementation of the GEDMWA (Geospatial Exploratory Data Mining Web Agent). It reads webpage data and follows links to acquire knowledge in order to add value to geoinformation usable in a GIS. The agent creates a database of webpage text, mines it for location information, and then converts it to proper geospatial data format. The data is quickly visualized and analyzed after GEDMWA converts it into proper GIS and virtual globe formats. This provides diverse user communities a tool that utilizes a variety of distributed sources to discover additional knowledge about their fields of interest.