In this paper we describe the development of a geographic co-occurrence model and how it can be applied to geographic information retrieval. The model consists of mining cooccurrences of placenames from Wikipedia, and then mapping these placenames to locations in the Getty Thesaurus of Geographical Names. We begin by quantifying the accuracy of our model and compute theoretical bounds for the accuracy achievable when applied to placename disambiguation in free text. We conclude with a discussion of the improvement such a model could provide for placename disambiguation and geographic relevance ranking over traditional methods
Significant amounts of information available today contain references to places on earth. Traditiona...
Abstract. This paper reports University of Pittsburgh’s participation in GeoCLEF 2008. As the first ...
In this paper we present Forostar, our GIR system. Forostar augments a traditional IR VSM approach w...
We detail our methods for generating and applying co-occurrence models for the purpose of placename ...
This paper describes the generation of a model capturing information on how placenames co-occur toge...
Geographic Information Retrieval (GIR) systems provide users with functionalities of representation,...
Toponym Disambiguation (TD) in Geographic Information Retrieval (GIR) systems is a crucial technique...
The Geographic Information Retrieval (GIR) community has generally accepted the thesis that both the...
Geographic Information Retrieval (GIR) systems rely on the identification and disambiguation of plac...
Geographic Information Retrieval (GIR) community has generally accepted the the-sis that both themat...
An important part of textual information around the world contains some kind of geographic features....
We report on the experiments undertaken by the NICTA I2D2 Group as part of GeoCLEF 2006. We experime...
Place descriptions in everyday communication or in online text provide a rich source of spatial know...
A large number of geographical toponyms exist in web pages and other documents, providing abundant g...
Significant amounts of information available today contain references to places on earth. Traditiona...
Significant amounts of information available today contain references to places on earth. Traditiona...
Abstract. This paper reports University of Pittsburgh’s participation in GeoCLEF 2008. As the first ...
In this paper we present Forostar, our GIR system. Forostar augments a traditional IR VSM approach w...
We detail our methods for generating and applying co-occurrence models for the purpose of placename ...
This paper describes the generation of a model capturing information on how placenames co-occur toge...
Geographic Information Retrieval (GIR) systems provide users with functionalities of representation,...
Toponym Disambiguation (TD) in Geographic Information Retrieval (GIR) systems is a crucial technique...
The Geographic Information Retrieval (GIR) community has generally accepted the thesis that both the...
Geographic Information Retrieval (GIR) systems rely on the identification and disambiguation of plac...
Geographic Information Retrieval (GIR) community has generally accepted the the-sis that both themat...
An important part of textual information around the world contains some kind of geographic features....
We report on the experiments undertaken by the NICTA I2D2 Group as part of GeoCLEF 2006. We experime...
Place descriptions in everyday communication or in online text provide a rich source of spatial know...
A large number of geographical toponyms exist in web pages and other documents, providing abundant g...
Significant amounts of information available today contain references to places on earth. Traditiona...
Significant amounts of information available today contain references to places on earth. Traditiona...
Abstract. This paper reports University of Pittsburgh’s participation in GeoCLEF 2008. As the first ...
In this paper we present Forostar, our GIR system. Forostar augments a traditional IR VSM approach w...