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News and Views:
Semantic Geosearch Challenge July 10, 2003 The relationship between semantic search and geocoded data is orthogonal. We'll need general purpose semantic search capabilities for all flavors of data mining including but not exclusively for geocoded data. A simple straightforward geographic search should be able to identify nearby explicity geocoded data. But since most web data is not yet geocoded, the only way we'll achieve a full-blown spatial web is by applying semantic analysis to exisiting data chunks on the www that are not explicitly geocoded. To derive a reasonable location, These data chunks or objects, then can be implicitly geocoded ex post facto. Lots of people have geocoded web pages ( sites actually) by converting IP addresses to geographic location ( Bob Olson, and Eric Schaffer, et.al), but this is a very coarse, inaccurate, and ultimately unsatisfactory approach. So, until everyone voluntarily geocodes new data and media, machine understanding of location concepts within old, legacy web pages is a critical challenge to enable finding all of the relevant data near a specific location. If you can afford them, ( I can't) There's a load of recently published books on related topics: Online GIS and Metadata by Terry Bossomaier and David R. Green ~ $67.95 Mining the Web: Analysis of Hypertext and Semi Structured Data by Souman Chakrabarti ~ $54.95 Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization by Peter Jackson and Isabelle Moulinier ~ $75.00 And this one that is not directly related, but looks very interesting, Internet GIS: Distributed Geographic Information Services for the Internet and Wireless Networks by Dr. Zhong-Ren Peng and Dr. Ming-Hsiang Tsou ~ $90.00
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