Paper Info
Title
Spatiotemporal mapping of Wikipedia concepts
Abstract
Space and time are important dimensions in the representation of a large number of concepts. However there exists no available resource that provides spatiotemporal mappings of generic concepts. Here we present a link-analysis based method for extracting the main locations and periods associated to all Wikipedia concepts. Relevant locations are selected from a set of geotagged articles, while relevant periods are discovered using a list of people with associated life periods. We analyze article versions over multiple languages and consider the strength of a spatial/temporal reference to be proportional to the number of languages in which it appears. To illustrate the utility of the spatiotemporal mapping of Wikipedia concepts, we present an analysis of cultural interactions and a temporal analysis of two domains. The Wikipedia mapping can also be used to perform rich spatiotemporal document indexing by extracting implicit spatial and temporal references from texts.
Year
DOI
Venue
2010
10.1145/1816123.1816142
ACM/IEEE Joint Conference on Digital Libraries
Keywords
Field
DocType
concept,temporal reference,wikipedia concept,cultural,wikipedia mapping,relevant location,spatial-temporal,interaction,temporal analysis,implicit spatial,rich spatiotemporal document indexing,multilinguism,spatiotemporal mapping,large number,wikipedia,associated life period,link analysis,indexation
Existential quantification,Information retrieval,Computer science,Spacetime,Search engine indexing
Conference
Citations 
PageRank 
References 
4
0.53
16
Authors
2
Name
Order
Citations
PageRank
Adrian Popescu126320.15
Gregory Grefenstette21129147.00