A Semantic Web Services GIS Based Emergency Management Application

Tanasescu, Vlad; Gugliotta, Alessio; Domingue, John; Davies, Rob; Gutiérrez-Villarías, Leticia; Rowlatt, Mary; Richardson, Marc; Stincic, Sandra

doi:10.1007/11926078_71

Cited by 21 publications

(16 citation statements)

References 2 publications

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“…One of the most sought after mechanisms to provide spatial signatures to a spatial dataset is to couple it with equivalent spatial databases. Such heterogeneous data integration is a leading subject of research today (Cruz 2004;Cruz Sunna and Chaudhry 2004;Tanasescu et al 2006). However, it is not straightforward in our case.…”

Section: Linking Places and Sitesmentioning

confidence: 93%

Across Space and Time

Fleury¹,

Madeleine²,

Lefèvre

2015

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Section: Linking Places and Sitesmentioning

confidence: 93%

Across Space and Time

Fleury¹,

Madeleine²,

Lefèvre

2015

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“…The work in [58] proposed a toolset to compose GIS web services using BPEL. In turn, the work in [53] combined WSMO and IRS-III 22 for semantically composing GIS web services. The composition of GIS web services was also analyzed in [6], where OWL [2], OWL-S 23 and BPEL were used to give meaning to diverse data sources and GIS processing web services.…”

Section: Gis Web Service Managementmentioning

confidence: 99%

“…In summary, most of these previous solutions employ a single ontology approach; that is, web services are assumed to be described by concepts taken from a single shared ontology [17,27,53]. This allows the matching problem to be reduced to a problem of reasoning within the shared ontology [25,40].…”

Section: Gis Web Service Managementmentioning

confidence: 99%

An evaluation of ontology matching in geo-service applications

Vaccari

Shvaiko²,

Pane

et al. 2011

Geoinformatica

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Matching between concepts describing the meaning of services representing heterogeneous information sources is a key operation in many application domains, including web service coordination, data integration, peer-to-peer information sharing, query answering, and so on. In this paper we present an evaluation of an ontology matching approach, specifically of structure-preserving semantic matching (SPSM) solution. In particular, we discuss the SPSM approach used to reduce the semantic heterogeneity problem among geo web services and we evaluate the SPSM solution on real world GIS ESRI ArcWeb services. The first experiment included matching of original web service method signatures to synthetically alterated ones. In the second experiment we compared a manual classification of our dataset to the automatic (unsupervised) classification produced by SPSM. The evaluation results demonstrate robustness and good performance of the SPSM approach on a large (ca. 700 000) number of matching tasks.

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“…The same practice is applied for geospatial data sources. In other cases like (Tanasescu, et al, 2006), ontologies are used to manage the semantics within different data sources to maintain the semantic interoperability of spatial data within different platforms.…”

Section: Spatial Components In Semantic Webmentioning

confidence: 99%