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  1. Proceedings of the 2005 workshop on Geographic information retrieval (GIR '05)
  2. Geographical partition for distributed web crawling
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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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Geographical partition for distributed web crawling

Content Provider ACM Digital Library
Author Pina, António Alves, Albano Rufino, José Exposto, José Macedo, Joaquim
Abstract This paper evaluates scalable distributed crawling by means of the geographical partition of the Web. The approach is based on the existence of multiple distributed crawlers each one responsible for the pages belonging to one or more previously identified geographical zones. The work considers a distributed crawler where the assignment of pages to visit is based on page content geographical scope. For the initial assignment of a page to a partition we use a simple heuristic that marks a page within the same scope of the hosting web server geographical location. During download, if the analyze of a page contents recommends a different geographical scope, the page is forwarded to the well-located web server.A sample of the Portuguese Web pages, extracted during the year 2005, was used to evaluate: a) page download communication times and the b) overhead of pages exchange among servers. Evaluation results permit to compare our approach to conventional hash partitioning strategies.
Starting Page 55
Ending Page 60
Page Count 6
File Format PDF
ISBN 1595931651
DOI 10.1145/1096985.1096999
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-11-04
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Parallel crawling Web mining Web partitioning
Content Type Text
Resource Type Article
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