Thematic Data Extraction from Web for GIS and Applications
Many Web pages contain textual descriptions about locations such as addresses,phone numbers,landmarks,and names. These location-related descriptions are valuable geospatial information for business applications. Therefore, the Web can be perceived as a large geospatial database that coule provide up-to-data data for GIE.Currently this rich and frequently updated Web geospatial information is underutilized. Most related work has been focused on identifying and extracting location names from Web pages for the purpose of page indexing. Little research ahs been found on extracting and using various types of Web geospatial information for enterprise GIS applications. This paper tries to fill the gap by (1)proposing new algorithms for retrieving different types of geospatial information on Web pages and resolving location name ambiguity issues;(2)exploring how GIS can leverage extracted Web geospatial data for enterprise applications.
WebGeo-Information Discovery Information Extraction, Geoparsing ,Web Data Intergration GIS
George Shi Ken Barker
The University of Calgary 2500 University Dr.NW,Calgary ,Canada TIN IN4
国际会议
福州
英文
273-278
2011-06-29（万方平台首次上网日期，不代表论文的发表时间）