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

Supporting frameworks for the geospatial semantic web

Abdelmoty, Alia ORCID: https://orcid.org/0000-0003-2031-4413, Smart, Philip David, El-Geresy, Baher A. and Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575 2009. Supporting frameworks for the geospatial semantic web. Presented at: 11th international symposium, SSTD 2009, Aalborg, Denmark, 8-10 July 2009. Published in: Mamoulis, Nikos, Seidl, Thomas, Pedersen, Torben Bach, Torp, Kristian and Assent, Ira eds. Advances in spatial and temporal databases: 11th international symposium, SSTD 2009, Aalborg, Denmark, July 8-10, 2009. Heidelberg: Springer Verlag, pp. 355-372. 10.1007/978-3-642-02982-0_23

Full text not available from this repository.

Abstract

A lot of information on the web is geographically referenced. Discovering and linking this information poses eminent research challenges to the geospatial semantic web, with regards to the representation and manipulation of geographic data. Towards addressing these challenges, this work explores the potential of the current semantic web languages and tools. In particular, an integrated logical framework of rules and ontologies, using current W3C standards, is assessed for modeling geospatial ontologies of place encoding both symbolic and geometric references to place locations. Spatial reasoning is incorporated in the framework to facilitate the deduction of implicit semantics and for expressing spatial integrity constraints. The logical framework is then extended with geo-computation engines that offer more effective manipulations of geometric information. Example data sets mined from web resources are used to demonstrate and evaluate both frameworks, offering insights to their potentials and limitations.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer Verlag
ISBN: 9783642029813
Last Modified: 29 Sep 2023 01:07
URI: https://orca.cardiff.ac.uk/id/eprint/19410

Citation Data

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item