E. Amitay, N. Har'El, R. Sivan, и A. Soffer. Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, стр. 273--280. New York, NY, USA, ACM, (2004)
DOI: 10.1145/1008992.1009040
Аннотация
We describe Web-a-Where, a system for associating geography with Web pages. Web-a-Where locates mentions of places and determines the place each name refers to. In addition, it assigns to each page a geographic <i>focus</i> --- a locality that the page discusses as a whole. The tagging process is simple and fast, aimed to be applied to large collections of Web pages and to facilitate a variety of location-based applications and data analyses.Geotagging involves arbitrating two types of ambiguities: geo/non-geo and geo/geo. A geo/non-geo ambiguity occurs when a place name also has a non-geographic meaning, such as a person name (e.g., Berlin) or a common word (Turkey). Geo/geo ambiguity arises when distinct places have the same name, as in London, England vs. London, Ontario.An implementation of the tagger within the framework of the WebFountain data mining system is described, and evaluated on several corpora of real Web pages. Precision of up to 82% on individual geotags is achieved. We also evaluate the relative contribution of various heuristics the tagger employs, and evaluate the focus-finding algorithm using a corpus pretagged with localities, showing that as many as 91% of the foci reported are correct up to the country level.
%0 Conference Paper
%1 Amitay:2004:WGW:1008992.1009040
%A Amitay, Einat
%A Har'El, Nadav
%A Sivan, Ron
%A Soffer, Aya
%B Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
%C New York, NY, USA
%D 2004
%I ACM
%K MA geo geo-geo geo-nongeo geotagging tagging
%P 273--280
%R 10.1145/1008992.1009040
%T Web-a-where: geotagging web content
%U http://doi.acm.org/10.1145/1008992.1009040
%X We describe Web-a-Where, a system for associating geography with Web pages. Web-a-Where locates mentions of places and determines the place each name refers to. In addition, it assigns to each page a geographic <i>focus</i> --- a locality that the page discusses as a whole. The tagging process is simple and fast, aimed to be applied to large collections of Web pages and to facilitate a variety of location-based applications and data analyses.Geotagging involves arbitrating two types of ambiguities: geo/non-geo and geo/geo. A geo/non-geo ambiguity occurs when a place name also has a non-geographic meaning, such as a person name (e.g., Berlin) or a common word (Turkey). Geo/geo ambiguity arises when distinct places have the same name, as in London, England vs. London, Ontario.An implementation of the tagger within the framework of the WebFountain data mining system is described, and evaluated on several corpora of real Web pages. Precision of up to 82% on individual geotags is achieved. We also evaluate the relative contribution of various heuristics the tagger employs, and evaluate the focus-finding algorithm using a corpus pretagged with localities, showing that as many as 91% of the foci reported are correct up to the country level.
%@ 1-58113-881-4
@inproceedings{Amitay:2004:WGW:1008992.1009040,
abstract = {We describe Web-a-Where, a system for associating geography with Web pages. Web-a-Where locates mentions of places and determines the place each name refers to. In addition, it assigns to each page a geographic <i>focus</i> --- a locality that the page discusses as a whole. The tagging process is simple and fast, aimed to be applied to large collections of Web pages and to facilitate a variety of location-based applications and data analyses.Geotagging involves arbitrating two types of ambiguities: geo/non-geo and geo/geo. A geo/non-geo ambiguity occurs when a place name also has a non-geographic meaning, such as a person name (e.g., Berlin) or a common word (Turkey). Geo/geo ambiguity arises when distinct places have the same name, as in London, England vs. London, Ontario.An implementation of the tagger within the framework of the WebFountain data mining system is described, and evaluated on several corpora of real Web pages. Precision of up to 82% on individual geotags is achieved. We also evaluate the relative contribution of various heuristics the tagger employs, and evaluate the focus-finding algorithm using a corpus pretagged with localities, showing that as many as 91% of the foci reported are correct up to the country level.},
acmid = {1009040},
added-at = {2012-10-17T11:54:52.000+0200},
address = {New York, NY, USA},
author = {Amitay, Einat and Har'El, Nadav and Sivan, Ron and Soffer, Aya},
biburl = {https://www.bibsonomy.org/bibtex/277444915c635a4d4d752c20be1815486/gzymeri},
booktitle = {Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval},
doi = {10.1145/1008992.1009040},
interhash = {d3282af66c8503887cb5b02756ee86de},
intrahash = {77444915c635a4d4d752c20be1815486},
isbn = {1-58113-881-4},
keywords = {MA geo geo-geo geo-nongeo geotagging tagging},
location = {Sheffield, United Kingdom},
numpages = {8},
pages = {273--280},
publisher = {ACM},
series = {SIGIR '04},
timestamp = {2012-10-23T17:02:03.000+0200},
title = {Web-a-where: geotagging web content},
url = {http://doi.acm.org/10.1145/1008992.1009040},
year = 2004
}