Skip to Main content Skip to Navigation
Conference papers

LARKS: An ontology-based algorithm for geographic web service discovery

Khaled Rezeg Sylvie Servigne 1 Mohamed Tayeb Laskri
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The geographic data use through Web Services shows the Geospatial Web Ser-vices (GWS). A growing number of GWS designed to interoperate spatial information over the network have emerged. GWS are changing the way in which spatial information systems and applications are designed, developed, and deployed. When GWS is increasing, the difficulty of the service discovery increases too. Mastering this phase requires enriching the GWS descrip-tion and the user profile semantic aspects. One of these aspects is assured through the quality in ontological form. The correspondence between user requests and advertisements published GWS is ensured through the use of the matching algorithm “LARKS” based on quality ontology. In this paper we propose an LARKS algorithm adapted to the GWS discovery by applying the first three filters (context, profile, similarity) on the quality criteria in the user request and the GWS descriptions classes available in the metadata catalog based on quality ontology. This solution allows us to have a result like "relaxed match". At UDDI registry, the application of the matching algorithm is based on the query mechanism of UDDI registry using the differ-ent pages (white pages, yellow pages, green pages). A list of GWS ranked in order of match (quality aspect, functional aspect) is the discovery result.
Document type :
Conference papers
Complete list of metadata
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Wednesday, June 29, 2016 - 3:49:06 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM


  • HAL Id : hal-01339216, version 1


Khaled Rezeg, Sylvie Servigne, Mohamed Tayeb Laskri. LARKS: An ontology-based algorithm for geographic web service discovery. 29th Urban Data Management Symposium, May 2013, London, United Kingdom. pp.227-238. ⟨hal-01339216⟩



Record views