Matching between concepts describing the meaning of representing for 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, specically of Structure-Preserving Semantic Matching (SPSM) solution which we applied within an emergency response scenario for GIS web service coordination. We evaluate the SPSM solution both on a set of synthesized benchmarks, as well as on real world GIS ESRI ArcWeb services. The results demonstrate the robustness and the performance of the SPSM approach on a large (ca. 700.000) number of matching tasks.
Ontology Matching Evaluation Using GIS Web Services / Pane, Juan; Vaccari, Lorenzino. - ELETTRONICO. - (2008), pp. 1-12.
Ontology Matching Evaluation Using GIS Web Services
Pane, Juan;Vaccari, Lorenzino
2008-01-01
Abstract
Matching between concepts describing the meaning of representing for 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, specically of Structure-Preserving Semantic Matching (SPSM) solution which we applied within an emergency response scenario for GIS web service coordination. We evaluate the SPSM solution both on a set of synthesized benchmarks, as well as on real world GIS ESRI ArcWeb services. The results demonstrate the robustness and the performance of the SPSM approach on a large (ca. 700.000) number of matching tasks.File | Dimensione | Formato | |
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