Adding geographic scopes to web resources

Silva, Mário J.; Martins, Bruno; Chaves, Marcírio Silveira; Afonso, Ana Paula; Cardoso, Nuno

doi:10.1016/j.compenvurbsys.2005.08.003

Cited by 94 publications

(58 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A study by Silva et al [8] suggests that web documents contain an average 2.17 references to geographic entities. The first stage of geographic information retrieval is to recognise these geographic references or toponyms within the free text -known as geoparsing.…”

Section: Geographic Information Retrievalmentioning

confidence: 99%

“…These ontologies act as geographic knowledge bases, defining the relationships between toponyms, such as whether two locations are adjacent, or one is contained within the other [8]. This has been done not only for formal placenames with known administrative boundaries, but also imprecise regions with no formally defined spatial extent such as "The Mid-West" or "The West Midlands" [42].…”

Section: Geographic Information Retrievalmentioning

confidence: 99%

“…"Geographic information is pervasive on the web" Silva et al (2004) [8] Individuals performing natural language searches of information sources, for example using a web search engine, often require information that is geographically specific and will include toponyms (placenames) in the query to define its spatial focus [32]. The approach of the current generation of Internet search engines is exact matching of terms in the query and documents.…”

Section: Geographic Information Retrievalmentioning

confidence: 99%

“…Despite the wealth of geographic context that appears to be implicitly contained within documents [8], the current generation of Internet information retrieval engines -relying upon exact matching between query terms and the textual content of information sources -have no way of representing or comparing these geographic footprints [9]. More recently, a field of research known as geographic information retrieval (GIR) [10] has emerged to tackle the problems associated with the "spaceless Internet", by identifying geographic terms in documents and building geographic ontologies to identify the spatial properties of documents.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals

Mountain

MacFarlane

2007

Journal of Information Science

View full text Add to dashboard Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractIn this paper, the information needs of mobile individuals are contrasted with those of their static (desktop) counterparts. The information needs of users of a mobile information system, implemented in an outdoor recreational area, are first investigated in a two-part user needs study, which finds a strong geographic component to their information needs have a strong geographic component. Next, four geographic post-query filters which are described which attempt to meet these needs. These filters are spatial proximity (distance in space), temporal proximity (travel time), speed-heading prediction surfaces (likelihood of visiting locations) and visibility (locations that can be seen). Two of these filters (spatial proximity and speed-heading prediction surfaces) are implemented in a mobile information system are evaluated with users in an outdoor setting. The results of evaluation suggest that information that to which post-query geographical filters have been applied is more relevant than unfiltered information, and that users find information sorted by spatial proximity to be more relevant than that sorted by a prediction surface of likely future locations. The paper closes by suggesting that one of the contributory factors to the failure of location-based services to become widely adopted, could be a neglect of the distinct information needs of mobile individuals.

show abstract

Section: Geographic Information Retrievalmentioning

confidence: 99%

Section: Geographic Information Retrievalmentioning

confidence: 99%

Section: Geographic Information Retrievalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals

Mountain

MacFarlane

2007

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…Extracting information from web documents this way opened a world of opportunities in areas such as • Geo-location, in which web page content is used to identify its geographic location [9]; • Content extraction for automated structuring of naturally unstructured documents (such as the majority of existing web pages [16]); • User privacy [13]; • Keyword extraction, not only for automatic document classification, but also as helpers for thesauri and ontology creation. We used web content mining techniques for trying to find a way to automatically classify documents, through text mining and keyword selection.…”

Section: Web Content Miningmentioning

confidence: 99%

Personalization of information delivery based on web mining and DNA classification

Santos

Amado²

2009

Data Mining X

View full text Add to dashboard Cite

It is hard to find any kind of media with a growth-rate as high as the World Wide Web. At the same time, it is hard to find one that stores within itself such an amount of metadata, useful for an in-depth study. It is wrong to look at the WWW simply as a kind of information store. Although all its contents are information one way or the other, the truth is there are quite a few ways of letting the users interact with that information, either to manipulate it (via ajax-based applications), to alter it (through the use of wikis), to add to it (via blogs and web sites themselves) or to transform and amplify its meanings. These are only a few examples of what can be done today. Web site access logs are the main information source on how the WWW is used. Rather than asking the users if they viewed the pages (such as a TV station might do), any web site has the means to keep a permanent record about its visitors. By analyzing these logs, we are able to get a better understanding of the roles played by the web site. In this paper we borrow a few concepts from biology, in order to establish a kind of 'DNA' for each document on the web site of the Portuguese Tribunal de Contas (Court of Auditors). We do this by looking at the WWW as an information source and by processing what we find. At the same time, we try to extend the same approach to the users who looked for those documents, by processing the web access logs. The results of such an approach might enable future uses of automatic document classification, as well as an effective personalization of information delivery.

show abstract

Spatio-textual Indexing for Geographical Search on the Web

Vaid

Jones

Joho

et al. 2005

Lecture Notes in Computer Science

142

114

View full text Add to dashboard Cite

Abstract. Many web documents refer to specific geographic localities and many people include geographic context in queries to web search engines. Standard web search engines treat the geographical terms in the same way as other terms. This can result in failure to find relevant documents that refer to the place of interest using alternative related names, such as those of included or nearby places. This can be overcome by associating text indexing with spatial indexing methods that exploit geo-tagging procedures to categorise documents with respect to geographic space. We describe three methods for spatio-textual indexing based on multiple spatially indexed text indexes, attaching spatial indexes to the document occurrences of a text index, and merging text index access results with results of access to a spatial index of documents. These schemes are compared experimentally with a conventional text index search engine, using a collection of geo-tagged web documents, and are shown to be able to compete in speed and storage performance with pure text indexing.

show abstract

Adding geographic scopes to web resources

Cited by 94 publications

References 27 publications

Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals

Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals

Personalization of information delivery based on web mining and DNA classification

Spatio-textual Indexing for Geographical Search on the Web

Contact Info

Product

Resources

About