Global information sharing on the semantic web is inhibited by semantic heterogeneity. This thesis examines the ability of a Semantic Web Rule Language (SWRL), to express the full range of semantic heterogeneity that exists on the web. First, the problem of information sharing and heterogeneity on the semantic web is examined. Next, thesis explores previous research in classifying and resolving semantic heterogeneity, and focusing on the taxonomy developed by Garcia-Solaco et al. as the basis for this thesis. Next, the thesis then reviews existing approaches for encoding mapping. The bulk of the thesis covers examples of heterogeneity in Web Ontology Language (OWL) ontologies/instances, SWRL rules for encoding mappings, and results from executing SWRL rules. A discussion of limitations and comparisons with OWL mapping are included where relevant. The conclusion describes future work in this area and summarizes the aptitude of SWRL rules to address the full range of semantic heterogeneity.
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 47/06M, Masters Abstracts International|
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