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  1. Proceedings of the first international workshop on Location and the web (LOCWEB '08)
  2. Urban web crawling
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Location and the Web: (LocWeb 2008)
The locative web
A differential notion of place for local search
Determining geographic representations for arbitrary concepts at query time
Urban web crawling
LocalSavvy: aggregating local points of view about news issues
Discovering geographical-specific interests from web click data
Analysis of geographic queries in a search engine log
Core geographical concepts: case Finnish geo-ontology
Acquisition of a vernacular gazetteer from web sources
Annotating and visualizing location data in geospatial web applications
Computable social patterns from sparse sensor data
Modeling and visualizing geo-sensitive queries based on user clicks
Discovering co-located queries in geographic search logs
Geographic web usage estimation by monitoring DNS caches

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Urban web crawling

Content Provider ACM Digital Library
Author Boll, Susanne Ahlers, Dirk
Abstract Local search is increasingly becoming a major focus point of research interest. It is a widely-recognized speciality search with a large application area. Its data is usually aggregated from a variety of sources. One as yet largely untapped source of location data is the WWW. Today, the Web does not explicitly reveal its location-relation; rather this information is hidden somewhere within pages' contents. To exploit such location information, we need to find, extract and geo-spatially index relevant Web pages. For an effective retrieval of such content, this paper examines the application of focused Web crawling to the geospatial domain. We describe our approach for a geo-aware focused crawling of urban areas and other regions with a high building density. We present our experimental results that give us insight into spatial Web information such as location density and link distance between topical pages. Our crawls and evaluations back our hypothesis that geospatially focused crawling is suitable for the urban geospatial topic.
Starting Page 25
Ending Page 32
Page Count 8
File Format PDF
ISBN 9781605581606
DOI 10.1145/1367798.1367803
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-04-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Adaptive crawling Location-based web search Focused crawling Geographic web information retrieval Topical search
Content Type Text
Resource Type Article
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