Biomedical Resource Discovery Considering Semantic Heterogeneity in Data Grid Environments

Ketata, Imen; Mokadem, Riad; Morvan, Franck

doi:10.1007/978-3-642-22247-4_2

Cited by 2 publications

(1 citation statement)

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“…Structural heterogeneity problems have been widely treated compared to the semantic heterogeneity problems. Throughout this paper, extending [16] mostly in its performance evaluation, we focus on the resource discovery in such environments with taking into account the semantic heterogeneity problems. Precisely, we focus on the discovery of metadata describing data sources in data Grid systems.…”

Section: Introductionmentioning

confidence: 99%

Resource Discovery Considering Semantic Properties in Data Grid Environments

Ketata

Mokadem

Morvan

2011

Lecture Notes in Computer Science

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Abstract. This paper deals with resource discovery in data Grid environments while taking into account the semantic heterogeneity of data sources. A domain ontology is associated to each domain and mappings exist between these domain ontologies. Our resource discovery method is adapted to any mapping graph topology between domain ontologies provided that the graph is connected. The proposed addressing system allows permanent access from any domain ontology to another despite the dynamicity of nodes. The performance evaluation of the proposed method proved the discovery cost reduction especially for inter-ontology queries. They also provide a significant maintenance costs reduction of such system especially when peers frequently join / leave the system.

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Section: Introductionmentioning

confidence: 99%