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  1. Proceedings of the 2005 workshop on Geographic information retrieval (GIR '05)
  2. Detecting geographic locations from web resources
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Filtering mechanisms for the visualization of geo-referenced information
Detecting geographic locations from web resources
Automatically identifying and georeferencing street maps on the web
Geographical partition for distributed web crawling
An evaluation of a multidimensional visual interface for geographic information retrieval
Extracting metadata for spatially-aware information retrieval on the internet
Finding geodata that otherwise would have been forgotten- GeoXchange: a SDI-based portal for sharing free geodata
Geographic web search based on positioning expressions
Visualization and semantic analysis of geographic metadata
Indexing and ranking in Geo-IR systems
Ontology-based service discovery in spatial data infrastructures
Challenges and resources for evaluating geographical IR

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Detecting geographic locations from web resources

Content Provider ACM Digital Library
Author Wang, Lee Ma, Wei-Ying Lu, Yansheng Xie, Xing Wang, Chuang
Abstract The rapid pervasion of the web into users' daily lives has put much importance on capturing location-specific information on the web, due to the fact that most human activities occur locally around where a user is located. This is especially true in the increasingly popular mobile and local search environments. Thus, how to correctly and effectively detect geographic locations from web resources has become a key challenge to location-based web applications. In our previous work, we proposed to explicitly distinguish three types of locations for web resources, namely provider location, content location and serving location. Provider location is the physical location of the provider who owns the web resource; content location is the geographic location described in the web content; while serving location is the geographic scope that a web resource can reach. In this paper, we present a system that comprehensively employs a set of algorithms and different geographic sources by extracting geographic information from the web content, and mining hyperlink structures as well as user logs. As the result, only relevant geographic sources, rather than all of possible ones are used in computation of each category of web location. Finally, experimental results on large samples of web data show that our solution outperforms previous approaches.
Starting Page 17
Ending Page 24
Page Count 8
File Format PDF
ISBN 1595931651
DOI 10.1145/1096985.1096991
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-11-04
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Provider location Location-based web application Web location Content location Serving location Dominant location
Content Type Text
Resource Type Article
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