Using RDF to query spatial XML

5Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In tackling the Semantic Web, a rich domain that requires special attention is the Geospatial Semantic Web. A contribution to the Geospatial semantic Web is the definition of an approach for integrating non-spatial resources like HTML, PDF, GIF, etc., with spatial XML resources represented by Spatial XML[4]. However, in order to put this approach into practice it is necessary to solve the problem of developing an integration system for querying spatial XML resources stored in different sources. In this paper, we have implemented an approach for querying spatial and non-spatial information represented in the Geographical Markup Language (GML). The approach uses RDF to integrate the spatial XML documents. A performance study has been carried out and the results are given.

References Powered by Scopus

Toward the Semantic Geospatial Web

274Citations
284Readers
Get full text

Integrating GIS and imagery through XML-based information mediation

40Citations
10Readers
Get full text

A specification of a spatial query language over GML

40Citations
8Readers
Get full text

Cited by Powered by Scopus

Get full text

Annotating geospatial data based on its semantics

9Citations
40Readers
Get full text
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Córcoles, J. E., & González, P. (2004). Using RDF to query spatial XML. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3140, pp. 316–329). Springer Verlag. https://doi.org/10.1007/978-3-540-27834-4_40

Readers over time

‘11‘1601234

Readers' Seniority

Tooltip

Professor / Associate Prof. 2

40%

Lecturer / Post doc 2

40%

PhD / Post grad / Masters / Doc 1

20%

Readers' Discipline

Tooltip

Computer Science 3

60%

Agricultural and Biological Sciences 1

20%

Earth and Planetary Sciences 1

20%

Save time finding and organizing research with Mendeley

Sign up for free
0