Geographical classification of documents using evidence from Wikipedia

Alencar, Rafael Odon de; Davis, Clodoveu A.; Gonçalves, Marcos André

doi:10.1145/1722080.1722096

Cited by 20 publications

(15 citation statements)

References 18 publications

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“…Toponym resolution methods, for example, discover geographic content in unstructured text through named entity recognition (Leidner 2007). Training co-occurrence algorithms on unstructured text -either based on Wikipedia articles or web pages -improves toponym resolution (Buscaldi and Rosso 2007, Jones et al 2008, Overell and Rüger 2008, de Alencar et al 2010. Tagging systems, such as in Flickr and YouTube, are effectively unstructured text and also support toponym resolution.…”

Section: Geotaggingmentioning

confidence: 99%

Volunteered geographic information production as a spatial process

Hardy

Frew

Goodchild

2012

International Journal of Geographical Information Science

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Wikipedia is a free encyclopedia that anyone can edit and a popular example of usergenerated content that includes volunteered geographic information (VGI). In this article, we present three main contributions: (1) a spatial data model and collection methods to study VGI in systems that may not explicitly support geographic data;(2) quantitative methods for measuring distance between online authors and articles; and (3) empirically calibrated results from a gravity model of the role of distance in VGI production. To model spatial processes of VGI contributors, we use an invariant exponential gravity model based on article and author proximity. We define a proximity metric called a 'signature distance' as a weighted average distance between an article and each of its authors, and we estimate the location of 2.8 million anonymous authors through IP geolocation. Our study collects empirical data directly from 21 language-specific Wikipedia databases, spanning 7 years of contributions (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) to nearly 1 million geotagged articles. We find empirical evidence that the spatial processes of anonymous contributors fit an exponential distance decay model. Our results are consistent with the prior results on information diffusion as a spatial process, but run counter to theories that a globalized Internet neutralizes distance as a determinant of social behaviors.

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Section: Geotaggingmentioning

confidence: 99%

Volunteered geographic information production as a spatial process

Hardy

Frew

Goodchild

2012

International Journal of Geographical Information Science

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“…This vast repository of general knowledge has been used for different purposes, including semantic similarity and ontology extraction [110,84]. The project has also attracted interest in the area of GIScience [3]. WORDNET Initially conceived as a lexical database for machine translation, WordNet has become a widely used resource in various branches of computer science, where it is used as a semantic network and as an ontology [32].…”

Section: Survey Of Open Linked Geo-knowledge Basesmentioning

confidence: 99%

“…are progressively offering facilities for sharing geo-data, expanding their services beyond the routing systems that dominated the first phase of web-based Geographic Information Systems (GIS). 3 In this sense, geo-wikification is identifiable in the growth of web services allowing users, with some degree of freedom, to create or edit spatial data. As Priedhorsky notes, however, most interactive geo-services are essentially 'digital graffiti,' i.e.…”

Section: Introductionmentioning

confidence: 99%

“…We believe that these open geo-knowledge bases have potential in addressing the challenges of GIR, and deserve particular attention. For this reason, we provide a survey of currently active knowledge bases with particular emphasis on 3 See http://maps.google.com, http://www.bing.com/maps, http://maps.yahoo.com 4 http://www.wikipedia.org (acc. June 5, 2012) their geospatial content, and we review the state of the art in information integration and GIR, including our contribution to these areas.…”

Section: Introductionmentioning

confidence: 99%

“…Open Geo-Knowledge Bases in actionSince the late 1990s, geospatial knowledge bases have been of fundamental importance in many geographic applications[112], including semantic geographic information systems[2], GIR[3], and toponym disambiguation[87]. In general, geoknowledge bases are used to achieve semantic interoperability between local geographic datasets modelled on incompatible ontologies.…”

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A Survey of Volunteered Open Geo-Knowledge Bases in the Semantic Web

Ballatore

Wilson²,

Bertolotto

2013

Intelligent Systems Reference Library

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Over the past decade, rapid advances in web technologies, coupled with innovative models of spatial data collection and consumption, have generated a robust growth in geo-referenced information, resulting in spatial information overload. Increasing 'geographic intelligence' in traditional text-based information retrieval has become a prominent approach to respond to this issue and to fulfill users' spatial information needs. Numerous efforts in the Semantic Geospatial Web, Volunteered Geographic Information (VGI), and the Linking Open Data initiative have converged in a constellation of open knowledge bases, freely available online. In this article, we survey these open knowledge bases, focusing on their geospatial dimension. Particular attention is devoted to the crucial issue of the quality of geoknowledge bases, as well as of crowdsourced data. A new knowledge base, the OpenStreetMap Semantic Network, is outlined as our contribution to this area. Research directions in information integration and Geographic Information Retrieval (GIR) are then reviewed, with a critical discussion of their current limitations and future prospects.

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Toward location-aware Web: extraction method, applications and evaluation

Hess

Magagna

Sutanto

2013

Pers Ubiquit Comput

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Location-based services (LBS) belong to one of the most popular types of services today. However, a recurring issue is that most of the content in LBS has to be created from scratch and needs to be explicitly tagged to locations, which makes existing Web content not directly usable for LBS. In this paper, we aim at making Web sites location-aware and feed this information to LBS. Our approach toward location-aware Web is threefold: First, we present a location extraction method: SALT. It receives Web sites as input and equips them with location tags. Compared to other approaches, SALT is capable of extracting locations with a precision up to the street level. Performance evaluations further show high applicability for practice. Second, we present three applications for SALT: Webnear.me, Local Browsing and Local Facebook. Webnear.me offers location-aware Web surfing through a mobile Web site and a smartphone app. Local Browsing adds the feature to browse by nearby tags, extracted from Web sites delivered by SALT. Local Facebook extends location tagging to social networks, allowing to run SALT on one's own and one's friends' timeline. Finally, we evaluate SALT for technology acceptance of Webnear.me through a formative user study. Through real user data, collected during a 3 months pilot field deployment of Webnear.me, we assess whether SALT is a proper instance of ''location of a Web site''.

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Geographical classification of documents using evidence from Wikipedia

Cited by 20 publications

References 18 publications

Volunteered geographic information production as a spatial process

Volunteered geographic information production as a spatial process

A Survey of Volunteered Open Geo-Knowledge Bases in the Semantic Web

Toward location-aware Web: extraction method, applications and evaluation

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