GeoST: Geographic, thematic and temporal information retrieval from heterogeneous web data sources

Felix Mata, Christophe Claramunt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

Geographical data commonly available on the Web is often related to thematic and temporal data, and represented in heterogeneous data sources. This makes geographical information retrieval tasks non straightforward processes as the information available is often unstructured. The research presented in this paper introduces an ontology-driven approach whose objective is to facilitate retrieval of geographical information on the Web. Spatio- temporal queries are categorized in order to solve questions related to several complementary modeling dimensions: when, what andwhere. The retrieval strategy is based on the exploration of a spatio-temporal ontology, and implemented by a search engine. The whole approach is exemplified by a prototype development, and the results obtained are evaluated by a metrics based on recall and precision measures. The experimental findings show that the strategy is effective for the types of spatio-temporal queries used by our geographical retrieval approach.

Original languageEnglish
Title of host publicationWeb and Wireless Geographical Information Systems - 10th International Symposium, W2GIS 2011, Proceedings
Pages5-20
Number of pages16
DOIs
StatePublished - 2011
Externally publishedYes
Event10th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2011 - Kyoto, Japan
Duration: 3 Mar 20114 Mar 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6574 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2011
Country/TerritoryJapan
CityKyoto
Period3/03/114/03/11

Keywords

  • Geographic and temporal information retrieval
  • Ontology
  • Web information retrieval

Fingerprint

Dive into the research topics of 'GeoST: Geographic, thematic and temporal information retrieval from heterogeneous web data sources'. Together they form a unique fingerprint.

Cite this