Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Spatio-Textual Indexing for Geographical Search on the Web

Vaid, S., Jones, Christopher Bernard, Joho, H. and Sanderson, M. 2005. Spatio-Textual Indexing for Geographical Search on the Web. Lecture Notes in Computer Science 3633 , pp. 218-235. 10.1007/11535331_13

Full text not available from this repository.

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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
ISSN: 1611-3349
Last Modified: 04 Jun 2017 01:42
URI: http://orca-mwe.cf.ac.uk/id/eprint/1840

Citation Data

Cited 220 times in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item